Electronic Arts

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Senior Machine Learning Engineer The EA Security team makes sure that play is fair and protected, so it stays fun and exciting. We defend not only our players, but EA itself: our people’s work, our games, our data, and our infrastructure. Powered by deep technical expertise, we use cutting-edge engineering, automation, and intelligence to tackle threats at global scale. Whether it’s securing game services, combating fraud, or supporting fair play, we’re at the frontline of protecting the future of interactive entertainment. Join us and help keep the world of play — and EA — secure. The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office collaboration. This role focuses on building and operating production-grade data and machine learning infrastructure that enables data scientists and analysts to deliver fraud detection, anti-cheat, and account security solutions across EA games. Responsibilities -Design, build, and maintain scalable data ingestion, transformation, and feature pipelines that support machine learning workflows for fraud and anti-cheat systems. -Own and operate production data and machine learning infrastructure, including batch and near-real-time data processing, feature generation, training workflows, and inference pipelines. -Partner with data scientists to productionize machine learning models, with a strong focus on data consistency, data quality, and reliable offline and online feature computation. -Ensure data and machine learning pipelines are reliable, repeatable, observable, and cloud agnostic across environments. -Contribute to architectural standards, platform design decisions, and engineering best practices as a senior individual contributor within EA Player Security Data Labs. Qualifications -Five or more years of professional experience in data engineering, machine learning engineering, or a closely related role with production ownership. -Strong proficiency in Python and SQL, with demonstrated experience building and maintaining large-scale, production-grade data pipelines. Rust Experience a Plus. -Experience designing and operating data-intensive systems using modern programming languages, including Rust. -Hands-on experience supporting end-to-end machine learning workflows, with an emphasis on data preparation, feature pipelines, and model deployment infrastructure. -Experience working in cloud environments such as AWS or GCP, including large-scale data processing systems. -Experience with containerization and orchestration technologies such as Docker and Kubernetes. -Experience with CI/CD systems and production deployment workflows, including GitLab. -Experience with Terraform and Spark Why You Will Enjoy This Role You will work on data and machine learning systems that protect millions of players from fraud and cheating. You will operate as a senior individual contributor with strong technical ownership and autonomy. You will design and build core data infrastructure that powers machine learning across EA Player Security. Why We Are Excited About This Role We build systems that directly protect player trust and fair play across EA games. We value strong data engineering fundamentals and production-focused machine learning. We support senior engineers with autonomy and opportunities to shape long-term technical direction. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * Washington (depending on location e.g. Seattle vs. Spokane) *$122,300 - $158,500 USD Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. (Pour visualiser la description de poste en français, veuillez sélectionner le français dans le menu déroulant au haut de la page sous "Select Language".) Our Motive is to develop innovative action games set in iconic worlds where every player feels like the hero. Let's say that again—iconic worlds where every player feels like the hero. Our passion has taken us from imagining dogfighter pilots in Star Wars™: Squadrons to re-creating Isaac Clarke onboard the Ishimura in Dead Space™. Currently, we're working on two exciting projects, an original Iron Man™ action-adventure game and what's coming next for Battlefield™. We believe in sharing our passion with our community and each other, fostering an inclusive culture, and nurturing a growth mindset. Although our approach may seem simple, it leads us to create the best work of our careers, bringing unique and immersive experiences to our players. Motive is looking for a Senior AI Designer to join our team on Battlefield. You will report to the Senior Game Director and collaborate with gameplay leadership to develop enemy AI and design mechanics for the multiplayer aspects of the game. Join our multi-disciplinary AI team and work closely with other Gameplay Designers to craft a unique multiplayer experience. Responsibilities: - You will partner with designers to ensure enemy and vehicle AI contributes effectively to the combat experience and supports the overall game loop. - You will oversee and review AI feature development. - You will communicate design concepts through various channels, including written documents. - You will create and guide prototypes to explore design solutions. - You will implement new features and content using our in-house engine and visual scripting tools. - You will work across disciplines, including animation, programming, and level design, to ensure a top-tier player experience. - You will collaborate across disciplines, including animation, programming, and level design. - You will review the game against the design goals and identify issues and opportunities to improve the player experience. - You will receive and incorporate feedback from multiple sources to improve features. - You will collect and use qualitative data (playtest, usability, and customer feedback) and quantitative data (telemetry and analytics) to inform and improve designs. Qualifications: - 7+ years of design experience in video game development. - Design credits on at least one title with responsibility for enemy AI or combat systems. - Knowledge of current multiplayer shooter games and market trends, with the ability to apply relevant insights. - Hands-on experience with game engines for design implementation. We want to connect you with job opportunities that align with your interests, skills, and expertise. When you create an EA Careers Account and are logged into the portal, you can click “Get Recommendations” to view a curated list of job openings. These recommendations are enhanced by automated processing, including artificial intelligence, and take into account your skills and experience. However, all employment decisions are made by our hiring teams, not by automated systems. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. We are hiring a Machine Learning Engineer to join our Localization Data & AI team, reporting to the Localization Data & AI Manager. The Loc Data & AI team's mission is to empower EA Localization through intelligent, data-driven solutions—building scalable AI systems, streamlining ML operations, and creating tools that enhance the quality and efficiency of localized content. This role focuses on designing, deploying, and maintaining ML models and infrastructure, collaborating closely with Data Engineers and Data Scientists. Responsibilities - Design, build, and maintain scalable and production-ready ML pipelines to support AI-driven localization workflows. - Collaborate with cross-functional teams to understand business needs and translate them into ML solutions. - Train, evaluate, and fine-tune models for NLP, Computer Vision, and other ML use cases. - Deploy and monitor ML models in different environments, ensuring performance, scalability, and reliability. - Develop preprocessing pipelines tailored to ML/DL tasks by working with large structured and unstructured datasets in multiple languages. - Leverage MLOps best practices for versioning, testing, CI/CD, and monitoring of models (e.g., MLflow, Sagemaker, or VertexAI). - Design, develop, and maintain API REST services using languages such as Python, .NET, and/or Node.js. - Partner with Data Engineers and Data Scientists to ensure efficient data access and optimized feature engineering processes. - Contribute to continuous model and system improvement through experiment tracking, feedback loops, and performance analysis. - Conduct code reviews and ensure high-quality coding standards. - Optimize applications for maximum speed and scalability. - Collaborate with cross-functional teams to define, design, and ship new features. - Ensure adherence to ethical AI and data governance standards. Qualifications - 2+ years of hands-on experience in Machine Learning Engineering. - Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or related discipline. - Strong Python programming skills, with experience in ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face). - Proficiency in building and deploying ML models in real-world applications. - Familiarity with data processing frameworks (Pandas, NumPy) and orchestration tools (Airflow, Prefect). - Solid understanding of model lifecycle management and MLOps tools (e.g., MLflow, VertexAI, SageMaker, AzureML). - Experience working with APIs, RESTful services, and microservice-based architecture. - Knowledge of NLP and Computer vision techniques and tools for multilingual data is a strong plus. - Experience with cloud services (AWS, Azure, or GCP) for ML/DL development and deployment. - Experience with WebAPI and RESTful services. - Knowledge of software engineering best practices and tools (Gitlab and Github), such as Continuous Integration and Version Control (Git). - Oversee and contribute to the underlying infrastructure that powers ML systems (e.g, Terraform) ensuring robust, maintainable, and secure foundations for scalable deployment. - Strong debugging skills and fluent in reading code. - Strong problem-solving skills, and ability to communicate technical concepts clearly with stakeholders. - Excellent communication and collaboration skills, with the ability to translate data insights into business impact. This is a hybrid role, with 3 days per week working from our office in Madrid. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Central Technology is the force multiplier, accelerating creative opportunity and progress at EA. We're a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment. Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities. The Data & Insights (D&I) team transforms data into actionable insights that power EA. We guide strategy and governance, build data and AI solutions, and ensure personalization experimentation and analytics; partnering across teams to improve decisions and create more meaningful player experiences. We are hiring an AI Engineer to join the Player Intelligence & Growth team within Data and Insights (D&I), reporting to a Sr Manager. This team partners with all of EA's game studios to offer data science & AI products and solutions. For this AI Engineer role we are looking for applied and practical AI/ML expertise with a focus on Gen AI Solutions. You will help scale our internal AI-powered insights tool by partnering with analysts, product teams, marketing, and titles like EA SPORTS FC™, Apex Legends™, The Sims™, and Madden NFL. We're looking for a hands-on engineer with practical experience building AI/ML-driven systems, evaluating emerging tools, and delivering impactful, reusable solutions across multiple domains. Responsibilities - Work directly with game teams/partners (internal clients) to understand their offerings/domain and create AI products and solutions to solve for their use cases. - Focus on problem-driven approaches, applying pragmatic solutions to game team opportunities and decisions. - Develop plans to generalize AI products across titles. - Review AI tools used within the team, providing guidance and being accountable for the success and the adoption of the project/product. - Communicate AI & data science projects and products to partners. - Ensure your engineering approach, evaluation methods, and AI experiments produce reliable, meaningful outcomes. - Implement feature enhancements for our AI-powered analytics tool using GCP services, LLMs, and our internal tech stack. - Engage with other Data Scientists, Data Analysts sharing best practices and help consult on cross-projects. - Design, improve and work with our data pipeline that transfers and processes petabytes of data using tools, such as: AWS, S3, Kubernetes, GCP, Python, Apache Kafka, Ruby & Hive. - Use your computer science & AI knowledge to build pipelines for new capabilities using Gen AI. Required Qualifications - Graduate degree in Computer Science, Engineering, AI/ML, or a related quantitative field encouraged. - 4+ years of experience building AI, ML, or data-driven systems in production environments. - Proficiency with Python, SQL, and cloud technologies (preferably GCP). - Experience working with LLMs, embeddings, retrieval systems, or AI agents. - Familiarity with CI/CD, microservices, and cloud-native deployment patterns. - Experience working with cross-functional teams to translate partner needs into scalable technical solutions. - Experience working with large datasets and modern data engineering tools. - Interest in games is a big plus. This is a hybrid position. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$122,300 - $170,700 CAD * Ontario *$122,300 - $159,600 CAD Pay is just one part of the overall compensation at EA. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. This role is for an existing vacancy. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Security Engineer, AI Security EA Security is seeking an offensive-minded Security Engineer to help secure AI-enabled systems, agents, and LLM-integrated workflows across EA’s games, services, and enterprise platforms. This role focuses on identifying real-world security risks in both commercial and internally developed AI platforms, and on building scalable testing, automation, and AI-driven security agents that extend the team’s impact. You will work closely with Application Security and Red Team engineers, applying an attacker’s mindset to AI systems while building scalable security testing, automation, and guardrails that meaningfully reduce risk. This role is hands-on, technical, and impact-driven, with an emphasis on practical exploitation, adversarial testing, and scalable security outcomes. This role is ideal for security engineers who enjoy breaking complex systems, reasoning about abuse paths, and turning deep technical findings into scalable and durable AI security improvements. This position reports into the Application Security and Red Teaming organization. Responsibilities - Perform security testing and reviews of AI-enabled applications, agents, and workflows, including architecture, design, and implementation analysis - Identify and validate vulnerabilities in LLM-based systems such as data leakage, insecure tool use, authentication gaps, and abuse paths - Evaluate AI systems for prompt injection (direct, indirect, conditional, and persistent), including risks introduced through retrieval-augmented generation and agentic workflows - Conduct adversarial testing of commercial AI platforms such as Microsoft Copilot, Google AgentSpace, and OpenAI ChatGPT, as well as internally developed AI systems - Assess agentic and multi-agent workflows for privilege escalation, unsafe action chaining, cross-agent abuse, and unintended side effects - Design, build, and operate AI-driven security agents and automation, including multi-agent workflows, that scale application security, red teaming, and AI security efforts - Develop tooling, test harnesses, and repeatable validation frameworks to expand AI security coverage across teams - Partner with application engineers to translate findings into actionable mitigations, secure design patterns, and engineering guidance - Collaborate with Red Team and AppSec engineers to integrate AI attack techniques and agent-based testing into broader offensive security activities - Contribute reusable insights, documentation, and guardrails that help teams adopt AI securely and reduce future systemic risk Required Qualifications - Strong background in application security, offensive security, or a combination of both - Hands-on experience identifying and exploiting security weaknesses in modern applications and services - Experience testing or securing AI-enabled systems, LLM integrations, or agent-based workflows - Ability to reason about attacker misuse, abuse scenarios, and emergent behavior beyond traditional vulnerability classes - Experience building automation, tooling, or security agents using languages such as Python, Go, JavaScript, or similar - Familiarity with source code review and security tooling such as CodeQL, Semgrep, or equivalent - Strong collaboration and communication skills, with the ability to work directly with engineers and security partners Preferred Qualifications - Experience assessing commercial AI platforms or enterprise AI services - Familiarity with agent orchestration, tool calling, function execution, or multi-agent systems - Experience with traditional red team tooling or adversary simulation techniques - Exposure to detection engineering, incident response, or threat intelligence workflows - Experience turning novel AI security findings into scalable guidance rather than one-off fixes Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$92,900 - $129,200 CAD * California (depending on location e.g. Los Angeles vs. San Francisco) *$104,400 - $157,400 USD * Washington (depending on location e.g. Seattle vs. Spokane) *$99,100 - $129,800 USD Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Frostbite is EA's proprietary game engine. Its versatile tools and cutting-edge technology power creation on some of the world's most iconic games, including titles from EA SPORTS and Battlefield. By joining Frostbite, you'll be at the forefront of game engine innovation, collaborating with top-tier developers to push the boundaries of interactive realism and immersive gameplay. We are looking for a Senior Software Engineer with expertise in software optimization for gaming consoles and CPU/GPU architectures to join our Machine Learning team. You'll report to a Leader of Engine Development and collaborate with both game and central technology engineers and researchers to bring ML models into the hands of our players by deploying them directly into EA's games. Responsibilities: - Design, build, and maintain robust end-to-end solutions for running machine learning models efficiently on a variety of devices. - Partner with ML experts across EA to help adopt and scale new models and architectures optimized for on-device performance. - Integrate ML solutions into our proprietary tools and game runtime environments on consoles, PCs, and mobile devices. - Write clean, well-documented, and well-tested code that integrates smoothly with existing systems. - Keep up to date with the latest advancements in Deep Learning, Reinforcement Learning, Generative AI, and related fields, through continuous learning and by attending internal and external conferences. - Be an enthusiastic contributor to Frostbite's and EA's ML/AI communities - sharing your knowledge, collaborating with partners, and mentoring teammates along the way. Qualifications: - 7+ years of hands-on software engineering experience with C++, including expertise in multithreading and low-level/near-hardware optimizations. - Good knowledge of GPU programming. - Proficient in debugging, profiling, and optimizing real-time software. - Solid understanding and practice of software engineering fundamentals, such as version control, code reviews, documentation, automated testing, coding standards, CI/CD, issue tracking, and Agile. - BSc or MSc degree in Computer Science, Engineering, Mathematics, or equivalent professional experience. - Experience collaborating and sharing updates with developers and partners, including remote and asynchronous teams across different time zones. Nice to have: - Experience with implementing software tools to optimize code. - Knowledge of ML frameworks such as PyTorch or TensorFlow. - Knowledge of the ONNX format. - Experience building, debugging, and shipping end-to-end ML systems in real-world production environments. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Apex Legends QV is looking for an experienced technology leader to accelerate and lead our adoption of AI tools and tech. Reporting to senior QV leadership, you will help develop a multi-year AI strategy supporting our product goals and our needs. You'll participate in evaluations of future technologies, recommending solutions to QA leaders, and partnering with QA and development teams to define requirements, develop onboarding materials, and guide successful implementation. Responsibilities: - Analyze and identify AI solutions aligned with our quality mission. - Conduct and organize tech evaluations, measuring reliability, accuracy, and legal risk. - Prepare cost-benefit and comparison reports to inform tooling investment. - Provide regular reporting on AI/ML efforts, focusing on cost vs reward. - Gather use cases and translate them into engineering requirements. - Create documentation and training for new tools. - Measure AI/technology investment success using usage data and feedback. - Champion AI and automation technologies, promoting return on investment and sharing successes. - Architect systems for AI-driven data, surfacing balance issues, design flaws, and exploits. Qualifications: - 5+ years experience leading technology adoption in multinational organizations - Knowledge of AI prompting and optimizing response quality. - Hands-on LLM experience and awareness of ideal use cases. - Convert data/results into applicable business insights. - Deliver technical concepts to non-technical audiences. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Global Stories, local voices. We make games – how cool is that? In fact, we entertain millions of people across the globe with the most amazing and immersive entertainment experiences in the industry. But making games is challenging. That's why we employ the most creative, passionate people in the industry. EA inspires the world to play, and the Worldwide Localization Team makes that happen! We are accountable for delivering the high-quality localized versions of our titles to over 30 countries around the world. You will find a vibrant, multicultural environment with a great mixture of professionals where each employee has an important role to play. You will work on different groundbreaking tools and systems to provide Localization to our products. EA has built a Localization powerhouse that covers the needs for both current and next-generation platforms. We are hiring a Data Scientist to join our Localization Data & AI team, reporting to the Data Scientist Lead. The Loc Data & AI team’s mission is to empower EA Localization through intelligent, data-driven solutions leveraging advanced analytics, scalable AI systems, and collaborative tools that enhance the quality and efficiency of localized content. As a Data Scientist in our team, you will focus on building end-to-end data science solutions from exploratory analysis to model development and performance evaluation working closely with Machine Learning Engineers and Data Engineers. Responsibilities - - Analyze large, multilingual datasets to generate actionable insights for localization workflows. - Develop and refine feature engineering pipelines tailored for multilingual and multimodal datasets. - Develop of automatic translation pipelines based on agents using LLMs and prompting engineering techniques. - Evaluate LLMs performance, conduct error analysis, and iterate to improve accuracy, fairness, and reliability. - Datasets develop for testing and QA of new prompts or new models for automatic translation. - Apply statistical analysis, A/B testing, and experimental design to evaluate the impact of localization strategies. - Use tools like langfuse, for prompt and dataset development and management. - Conduct code reviews and ensure high-quality coding standards. - Ensure adherence to ethical AI standards. - Stay up-to-date with the latest research in prompting engineering, machine learning, LLMs and localization technologies. Qualifications - 2+ years of hands-on experience in applied data science, ideally in NLP, prompt engineering or multilingual domains. - Bachelor’s or Master’s degree in Data Science, Computer Science, Maths, Statistics, Linguistics, or a related field. - Strong proficiency in Python and core data science libraries (Pandas, NumPy, scikit-learn, Matplotlib, Seaborn). - Experience with ML and DL frameworks (TensorFlow, PyTorch, Hugging Face Transformers). - Solid grasp of statistical methods, hypothesis testing, and experimental design. - Familiarity with NLP concepts and tools (e.g., BLEU, BERTScore, spacy, nltk, quality estimation) is a plus. - Strong communication skills with the ability to convey technical insights to non-technical audiences. - Passion for localization, culturalization, language technologies, and building AI that enhances global user experiences. LI-VEP1 About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. AI Quality Lead Location: Galway(Ireland) or Guildford(UK), Hybrid - 3 Days per week onsite Job Summary: At Electronic Arts, we inspire the world to play by delivering immersive, player-first experiences through our iconic franchises. As our AI Quality Lead, you will join the Self-Service Fan Care team to guide the quality of AI-powered support for millions of players. You will report to the Director, Self Service Product and work with us to shape the future of fan care by building measurable, responsible, and impactful AI experiences. Join us to improve how we support our players and set new standards for AI in interactive entertainment. Responsibilities: - Establish and lead the AI Quality program from inception, defining business-aligned quality standards, user experience and target outcome metrics across AI-powered self-service capabilities. - Accountable for ongoing quality performance across fan-facing AI experiences, ensuring measurable improvements in accuracy, containment, risk mitigation, and fan-perceived effort and satisfaction. - Define and enforce AI launch readiness criteria, working with partner teams on launch criteria, validating risk scenarios, and certifying capabilities before release. - Lead post-launch AI agent governance, including performance monitoring, compliance with security and privacy standards and policies, and continuous quality improvement cycles tied to measurable outcomes. - Partner with implementation and stakeholder teams to provide input on product direction to prevent downstream quality risks. - Evaluate cost-to-quality tradeoffs in containment strategies, ensuring impacts of optimizations are evaluated and tracked. Required Qualifications: - 5+ years of program management experience in a related industry, with direct responsibility for quality programs or AI/ML-powered products. - Experience defining and operationalizing measurable AI quality KPIs for large-scale, production environments. - Experience influencing launch decisions and enforcing governance standards with technical and business partners. - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Join us in building and enhancing AI-powered developer tools that transform how our engineers create games like FC, Apex Legends, Madden, Battlefield, NHL, and skate. You will collaborate with teams across EA, leveraging Generative AI, LLMs, and advanced software engineering to reimagine how we write, test, and maintain code. Working onsite at our new EA Madrid office and reporting to a Senior Engineering Manager, you will: - Participate in architecting and building AI-driven enterprise solutions that enhance developer productivity. You will help shape how our engineers interact with Generative AI. - Apply strong communication and collaboration skills to work effectively with our internal community, external vendors, and our team’s Center of Excellence, ensuring alignment on strategy and adoption of AI solutions. - Collaborate with product, research, and engineering teams across EA to define product vision, roadmap, and strategy for AI-powered tools, and present to senior leadership. - Evaluate LLM models, APIs, and open-source frameworks alongside traditional build-vs-buy options. - Work directly with engineers across the company in Generative AI integration, prompt engineering, and evaluation best practices, shaping the next generation of EA developers. - Ensure systems are reliable, secure, and scalable, balancing experimentation with production-grade rigor. - Support internal users by delivering solutions that make AI a natural extension of their development workflows. Qualifications - 4+ years developing enterprise-level solutions, preferably with recent focus on integrating AI into those solutions. - Hands-on experience integrating LLMs (OpenAI, Anthropic or open-source) and other Generative AI technology (RAG, agentic processes, evals)into production workflows. - Strong programming skills in Python or C#, with exposure to modern web frameworks. - 3+ years with cloud platforms (Azure/AWS preferred), microservices, and distributed systems. - Familiarity with Docker, Kubernetes, Terraform, or cloud-native MLOps frameworks. - Familiarity with DevOps practices, CI/CD, and observability in AI systems. - Proven ability to drive projects across cross-functional teams with clear technical vision. Nice To Have - Experience building developer tools, IDE extensions, or AI productivity platforms. - Experience with building Grafana dashboards and PowerBI reports. - Experience with prompt optimization, embeddings, vector databases, and RAG pipelines. - Knowledge of fine-tuning and evaluation methodologies. - Contributions to open-source AI or developer productivity projects. - Cloud certifications in Azure or AWS. This is a hybrid role, with 3 days per week working from our office in Madrid. Please apply with a CV in English. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Our EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favorites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims, just to name a few. We’re a multi-functional group, with world-class expertise building fandoms, driving interactive storytelling, and positioning our franchises at the center of the broader entertainment ecosystem. We inspire, connect, and engage fans through culturally relevant content, intentionally architected journeys across channels, and meaningful fan care. Our goal is to provide valuable, easy experiences that fans love – in our games, around our games, and through innovative adjacent experiences to grow and enrich how fans experience EA as we shape the future of entertainment. To empower more players and fans in new and amazing ways, we need more innovators to join our world-class team. The future of entertainment is interactive, and you can help lead that future, by growing and enriching how hundreds of millions of people (and counting) find joy and belonging, forge friendships, and celebrate their lived experiences through the work we do every single day, together. You will be the hands-on AI architect and engineer, reporting to the Head of AI Enablement for EA Experiences. You will design, create, and deploy AI-powered solutions that transform content creation, data and analytics, and transform our business processes and systems. You'll architect and ship innovative AI native solutions that leverage agents, multi-agent workflows, guardrails, knowledge bases, knowledge graphs, LLM's, vision models, diffusion models, and related technologies. You will define requirements, rapidly prototype, iterate with stakeholders, and establish reusable architectures, standards, and patterns using the latest AI engineering methodologies, models, tools, and platforms. You're creative, innovative, self-motivated, and team-first, equally strong at problem-solving and collaborating across creative, product, marketing, data, and engineering teams. You will create scalable AI pipelines and workflows that enable teams to spend more time on high-value, creative, and strategic work. You will be a hybrid worker, collaborating with teams 3 days a week from the office; international travel to collaborate with global teams is an added bonus. Responsibilities : - Architect end-to-end AI solutions: Design and implement AI-native solutions and multi-agent workflows that transform content creation, data and analytics, and core business processes, from idea through production deployment. - Drive AI-enabled content creation: Build and evolve AI pipelines, assistants, and tools that help creative, marketing, and franchise teams ideate, generate, localize, and optimize content (image, video, copy, interactive experiences) at scale while staying on-brand and fan-first. - Lead data, knowledge, and RAG architectures: Define and implement data lakes, vector stores, knowledge bases, and knowledge graphs to power intelligent assistants and solutions - Productionize and integrate AI systems: Own the path from prototype to production—integrating AI solutions with existing platforms, services, and workflows, and defining observability, reliability, and performance baselines. - Embed guardrails, safety, and governance: Implement guardrails, policies, and evaluation frameworks that address IP, privacy, security, safety, and bias; define acceptance criteria, red/amber/green thresholds, and incident handling for AI-powered systems. - Standardize architectures, patterns, and tooling: Create and maintain reusable reference architectures, design patterns, SDKs, and templates for agents, multi-agent workflows, RAG, and LLM/vision/diffusion integrations to accelerate adoption across teams. - Partner and co-create with cross-functional teams: Collaborate with creative, product, marketing, data, engineering, operations, and legal partners to identify high-value AI opportunities, shape requirements, and ensure solutions are usable, scalable, and aligned to business goals. - Lead experimentation and continuous improvement: Run “prove, pilot, production” cycles, define success metrics, analyze performance and fan impact, and continuously refine models, prompts, workflows, and UX based on data and stakeholder feedback. Develop and lead AI first engineering processes to accelerate product, engineering, and delivery - Evangelize and upskill the organization: Provide thought leadership on AI, share best practices, host demos and workshops, and coach teams on how to leverage agents, LLMs, vision/diffusion models, and AI workflows as force-multipliers in their day-to-day work. Your Qualifications - 8+ years of experience architecting, prototyping, and deploying robust production solutions that incorporate software engineering, infrastructure, architectural, and security best practices. - Strong Python development skills; experience with C#, JavaScript, HTML, and CSS is beneficial. - Hands-on experience using agentic AI software engineering solutions (e.g., Kiro, Cursor, or similar) to accelerate development and experimentation. - 3+ years implementing AI solutions driving measurable business impact. - Excellent working knowledge of: prompt and context engineering; AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP); AI assistants, RAG, embeddings, and vector databases, evaluation, benchmarking, and guardrails. - Experience tuning language and diffusion models, labeling and tagging data, and architecting data pipelines - Deep understanding of architecture and design principles, and cloud services, specifically AWS, Azure and GCP are beneficial - Enterprise architecture and microservices design; observability and telemetry; infrastructure as code and CI/CD pipelines - Experience navigating the legal, ethical, and security implications for AI, including data privacy, IP, safety, and responsible use of Generative AI. - 4+ years experience leading cross-functional teams and collaborate effectively with global teams - Experience approaching a problem from different angles, analyzing pros and cons of different solutions, and analytical problem-solving skills, with the ability to reframe problems, explore multiple options, and land pragmatic, high-impact solutions. - Excellent ability to clearly communicate complex concepts simply and clearly. Weave an engaging narrative that clearly communicates complex concepts and demonstrates business impact. - Customer- and player-centric mindset, with a passion for building solutions that empower teams and delight fans. - Enjoy and prioritize continual learning – staying up to date with the newest AI technologies, models, tools, and solution patterns, and understanding how they can benefit EA Experiences. - Thrive working both collaboratively and independently in a fast-paced, dynamic environment; comfortable operating in a startup-like setting within a large organization. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. The Data & Insights (D&I) team harnesses the power of data to deliver transformative insights and solutions to EA game teams and players. D&I teams are involved in every aspect of data, driving strategy and governance; building powerful data and AI applications; and developing personalization, experimentation, and analytics tools, and more. When you join D&I, you're joining a team of passionate experts working to enable more profound understanding, better ways of working, and more meaningful experiences for our players. We're looking for a sharp, curious, and collaborative Data Scientist to join our Growth Analytics team. You'll work closely with media buyers to build models and experiments that inform our marketing strategy. Your insights will shape how we allocate budget, measure impact, and forecast performance across digital channels. You'll join a tight-knit team of five data scientists and will report directly to the Senior Manager of Data Science. This is a hybrid role with an expectation of 3 in-office days per week. The position is only open to candidates based near any EA office in Canada. Responsibilities: - Build Bayesian Hierarchical Media Mix Models (MMMs) to quantify the contribution of marketing channels - Design and analyze geo-based incrementality experiments and user-level re-engagement tests to measure the causal impact of marketing spend - Lead the design and analysis of retargeting experiments, applying A/B testing principles to evaluate incremental impact and guide campaign optimization - Develop budget optimization tools to support strategic decision-making - Create forecasting models (ie: Prophet) to project game performance - Translate model insights into actionable recommendations, collaborate closely with media buyers and presenting results and insights to stakeholders Qualifications: - Master's degree in a quantitative field (e.g., Statistics, Econometrics) and 2–5 years of experience in data science or analytics, ideally focused on marketing measurement or experimentation - Familiarity with MMMs, causal inference techniques (e.g. CausalImpact, Fixed Effect Regression), and experimental design - Strong experience with Python/R and SQL - Comfort working in a Bayesian modeling framework - Ability to communicate technical results to non-technical stakeholders We want to connect you with job opportunities that align with your interests, skills, and expertise. When you create an EA Careers Account and are logged into the portal, you can click “Get Recommendations” to view a curated list of job openings. These recommendations are enhanced by automated processing, including artificial intelligence, and take into account your skills and experience. However, all employment decisions are made by our hiring teams, not by automated systems. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$104,500 - $142,800 CAD * Ontario *$104,500 - $134,100 CAD Pay is just one part of the overall compensation at EA. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. This role is for a newly-created position. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Our EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favorites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims, just to name a few. We’re a multi-functional group, with world-class expertise building fandoms, driving interactive storytelling, and positioning our franchises at the center of the broader entertainment ecosystem. We inspire, connect, and engage fans through culturally relevant content, intentionally architected journeys across channels, and meaningful fan care. Our goal is to provide valuable, easy experiences that fans love – in our games, around our games, and through innovative adjacent experiences to grow and enrich how fans experience EA as we shape the future of entertainment. To empower more players and fans in new and amazing ways, we need more innovators to join our world-class team. The future of entertainment is interactive, and you can help lead that future, by growing and enriching how hundreds of millions of people (and counting) find joy and belonging, forge friendships, and celebrate their lived experiences through the work we do every single day, together As an AI Enablement Engineer for EA Experiences, you will be an innovator and creator of cutting-edge AI solutions, solutions that keep our fans at the center of everything we do. You will collaborate closely with teams across EA Experiences, developing and understanding of their business, their challenges, and their opportunities. You will rapidly create innovative AI solutions using cutting-edge AI technologies that provide increased efficiency and help our teams focus on what matters most, our fans. This is an internal enablement role focused on building and productionizing GenAI solutions for XO teams Responsibilities: Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will: - Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation - Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency - Collaborate EA Experiences teams to understand their business, processes, opportunities, and challenges. - Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do - Be an AI evangelist, promoting the use of AI as a force-multiplier Qualifications: - 8+ years experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices - Excellent Python development skills are required, C#, JavaScript, HTML, and CSS are strongly preferred - Experience using agentic AI software engineering solutions such as Cursor, GitHub CoPilot, or Claude Code - Extensive experience engineering AI solutions and excellent working knowledge of: - Prompt and context engineering - AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP) - AI assistants, RAG, embeddings, and vector databases - Model tuning, evaluation, benchmarking, and guardrails - An excellent understanding of architecture, design principles, and cloud services, such as: - AWS (Azure, and GCP cloud services are optional) - Enterprise architecture and microservices design - Observability and telemetry - Infrastructure as code and CI/CD - Data science experience is beneficial - Content production (e.g. marketing) is strongly beneficial - Experience navigating the legal, ethical, and security implications for AI - Thrive working both collaboratively and independently - Excellent creative, critical thinking, and problem solving skills - Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences - Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level - Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial - Experience with game engines is beneficial (Unity, Unreal) Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$122,300 - $170,700 CAD * Washington (depending on location e.g. Seattle vs. Spokane) *$133,100 - $178,400 USD Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. We are looking for an experienced Software Engineer for the Quality Verification & Standards in Seoul. Our mission is to drive software excellence by delivering innovative quality engineering solutions that ensure the reliability, performance, and overall quality of our gaming experiences. We collaborate with teams to develop and implement AI-driven solutions for quality control, test automation, AI pipelines, and CI/CD systems. As a key partner to game development and QA teams, we drive innovation by integrating AI/ML into Dev/QV processes to ensure the highest quality standards. - You will report to the Group Technical Director and follow a hybrid work model (Work from home 2 days per week). Responsibilities: - You will build AI-driven solutions to enhance quality engineering processes and automation. - You will collaborate with cross-functional teams to identify opportunities for applying machine learning and data analytics to improve product quality. - You will lead the evaluation and integration of AI tools and frameworks into existing QA workflows. - You will mentor team members on AI technologies, best practices, and implementation strategies. Qualifications: - You have bachelor's degree in Computer Science, Engineering, or a related field - You have minimum 7 years of experience as a Software Engineer or in a related engineering role - You have expertise in AI/ML technologies, including hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) or LLM Model - You have proficiency in programming languages such as Python, Java, or C++ - You have experience working in Agile or cross-functional teams - You have ability to mentor junior engineers on AI and software engineering best practices. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Founded in 2010 by the original creators of the Call of Duty Franchise, Respawn was created with the philosophy that when talented people have creative freedom, they'll make extraordinary games that achieve the unexpected. From our roots as an indie studio to joining the expansive roster of studios at Electronic Arts, this remains our guiding principle. We truly love what we do and want to share our passion with players worldwide. Our shipped titles include critically acclaimed multi-platform games Apex Legends, Titanfall, Titanfall 2, Star Wars™ Jedi: Fallen Order, Star Wars™ Jedi: Survivor and Medal of Honor: Above and Beyond. Join us for the opportunity to create groundbreaking games with some of the best developer talent in the industry. We are seeking a Lead AI Designer to join our veteran team at Respawn Entertainment. This is an opportunity to define, drive and own the vision for AI systems and behaviors and help craft the future of Apex Legends. In this role, you will be responsible for shaping how AI enemies, allies, and the world itself react to players — delivering combat experiences that are intelligent, challenging, and immersive. As the bridge between design, animation, and engineering, you’ll lead a small team of AI designers and collaborate closely with AI engineers, using the Source engine to take your ideas from paper to production and work directly in-engine with your team to help implement gameplay experiences and bring your vision to life. RESPONSIBILITIES - Define the creative and technical vision for AI design (enemy, ally, training and NPC behaviors) across all modes of Apex Legends - Lead the cross-disciplinary AI team to execute that creative vision across all Apex gameplay experiences and modes - Design and tune AI systems including perception, combat logic, navigation, coordination, and decision-making frameworks. - Establish reusable AI archetypes, behavior trees, and encounter templates that support a range of combat scenarios. - Lead, mentor, and grow a team of AI designers; provide clear goals, feedback, and support career development. - Collaborate cross-discipline with engineering, animation, and level design to ensure AI systems integrate smoothly into the overall player experience. - Own the quality of AI combat and systemic behaviors, ensuring they meet performance, difficulty, and fun targets. - Collaborate with partner teams (User Research/Analytics/Playtests) to optimize the AI experience - Work in a live game environment partnering with production to plan and manage a live service development schedule and release plan. REQUIREMENTS - 7+ years of professional game design experience, with at least 2 shipped AAA titles (preferably shooters or action games). - Experience leading a team and executing the creative vision - Live service development experience is an asset but not required - Deep understanding of combat AI, behavior systems and group coordination in shooter gameplay. - Proven experience designing AI for FPS or third-person shooters - Experience with AI scripting tools, visual behavior trees, and debugging environments. - Strong cross-disciplinary communication skills and a track record of collaborating effectively with engineering and animation teams. - Passion for emergent gameplay, player agency, and creating AI that feels alive and reactive. - Quality-first mentality. No ego, just a commitment to get to the best quality experience in-game. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$133,500 - $186,400 CAD * California (depending on location e.g. Los Angeles vs. San Francisco) *$153,700 - $233,600 USD Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favorites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims, just to name a few. We're a multi-functional group, with world-class expertise building fandoms, driving interactive storytelling, and positioning our franchises at the center of the broader entertainment ecosystem. We inspire, connect, and engage fans through culturally relevant content, intentionally architected journeys across channels, and meaningful fan care. Our goal is to provide valuable, easy experiences that fans love – in our games, around our games, and through innovative adjacent experiences to grow and enrich how fans experience EA as we shape the future of entertainment. To empower more players and fans in new and amazing ways, we need more innovators to join our world-class team. The future of entertainment is interactive, and you can help lead that future, by growing and enriching how hundreds of millions of people (and counting) find joy and belonging, forge friendships, and celebrate their lived experiences through the work we do every single day, together. AI Enablement Architect Lead As an AI Enablement Architect Lead for the XO AI Labs team in the EA Experiences organization, you will be an innovator and creator of cutting-edge AI solutions, solutions that keep our fans at the center of everything we do. You will collaborate closely with teams across EA Experiences, developing an understanding of their business, their challenges, and their opportunities. You will rapidly create innovative AI solutions using cutting-edge AI technologies that drive growth, increase efficiency, and help our teams focus on what matters most, our fans. This is a hands-on leadership role focused on building and deploying production AI solutions for EA Experiences organization. You will report to the Senior Director, AI Enablement. This is a hybrid role from an EA office. Responsibilities : Inspire and lead AI-driven transformation by creating and deploying innovative solutions that drive efficiency, expansion, and transformation to scale impact, and reimagine our employee and fan experiences. You will: - Be an AI evangelist, promoting the use of AI as a force-multiplier, driver of growth, and method for improving our fans experiences - Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation - Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency - Be a hands-on leader, collaborating with teams across EA Experiences to understand their business, their challenges, their opportunities, and create innovative solutions. - Innovate, transform, and imagine what can be with the novel application of AI into business and related solutions. Drive organizational transformation and change management. - Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level Qualifications : - 8 years + experience architecting, developing, rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices - Python development skills are required. C#, JavaScript, HTML, and CSS are beneficial - Extensive experience with spec driven development and using agentic AI software engineering solutions such as Kiro, Cursor, and Claude Code - Extensive experience engineering AI solutions and excellent working knowledge of: - Prompt and context engineering - AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP) - AI assistants, RAG, embeddings, and vector databases - Model tuning, evaluation, benchmarking, and guardrails - Content creation (advertising and marketing), data analytics, and business transformation experience is highly beneficial - A comprehensive understanding of AWS's services, architecture, and design principles, including: - Enterprise architecture and microservices design - Observability and telemetry - Infrastructure as code and CI/CD - Experience navigating the legal, ethical, and security implications for AI - Thrive working both collaboratively and independently - Excellent creative, critical thinking, and problem solving skills - Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$141,400 - $204,400 CAD * Washington (depending on location e.g. Seattle vs. Spokane) *$152,800 - $211,200 USD Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Senior Director, Business Strategy - AI & UGC Description & Requirements At EA, we believe games are powerful because they bring together multiple ways people engage: play, watch, create, and connect. And increasingly, the biggest entertainment platforms aren’t just places to consume content — they’re places where communities build. Creator-made content is already a proven part of EA’s history — from community creation tools in Battlefield to The Gallery in The Sims 4. We believe new creative technologies and tools will expand how players engage with and contribute to our experiences, supported by thoughtful product design, safety systems, and global reach. Our focus is on enabling more players to participate in creative expression by making creation easier, safer, and more rewarding. We are seeking a seasoned strategic leader to shape EA’s AI, user-generated content (UGC), and innovation strategy. Reporting to the VP of Corporate Strategy, this is a high-impact role at the intersection of technology, creativity, platforms, and business model innovation, with deep engagement across product, engineering, studios, publishing, and executive leadership. This role offers a unique opportunity to define how AI-native capabilities, creator ecosystems, and new platform dynamics reshape interactive entertainment at EA. You will articulate the strategic vision, decision frameworks, and growth pathways for AI-enabled experiences, UGC platforms, and emerging innovation bets, positioning EA for long-term category leadership. Responsibilities Strategic Vision and Leadership - Serve as a trusted thought partner to senior leaders across AI, technology and studios, shaping long-term strategy and translating it into sequenced, measurable priorities. - Lead market and competitive intelligence across AI and UGC, tracking competitor moves, creator ecosystem shifts, platform policy changes, emerging AI capabilities, and monetization models, and translating these into clear strategic implications for EA. - Define and continuously refine EA’s AI and UGC strategy, synthesizing user and creator needs, platform dynamics, technical constraints, and regulatory considerations into clear where to play and how to win choices. - Ensure alignment between AI and innovation initiatives and EA’s enterprise strategy, portfolio priorities, and long-term value creation. - Deliver thought leadership on how AI-driven creation, personalization, economies, and community dynamics are reshaping interactive entertainment and how EA can lead responsibly at scale. - Build and maintain external relationships across gaming, technology, AI platforms, and creator ecosystems to inform EA’s strategic outlook. Strategic Planning - Develop and maintain core strategic planning artifacts for AI and innovation initiatives, including strategic pillars, roadmaps, measurable objectives, and investment theses. - Establish clear decision frameworks to guide build, partner, or buy choices, prioritization trade-offs, sequencing of capabilities, and scale or sunset criteria tied to measurable milestones. - Lead scenario planning and portfolio modeling for AI and UGC initiatives, including adoption, retention, creator economics, monetization, and cost-to-serve considerations. - Partner with Strategic Intelligence and Finance to build forecasts, unit economics models, and long-range planning scenarios that inform capital allocation and resource decisions. - Drive high-impact strategic initiatives end-to-end, including opportunity assessments, partnership strategy, incubation support, and M&A-related strategic diligence where relevant. - Synthesize complex analyses into clear, executive-ready recommendations for senior leadership, the CEO, and the Board of Directors. Enable Innovative Growth - Help define the strategic operating logic for AI and UGC platforms, including creator flywheels, ecosystem incentives, governance principles, and safety by design considerations. - Support product and studio teams in balancing experimentation with disciplined investment frameworks, ensuring innovation efforts are tied to measurable learning agendas and scalable business models. - Partner cross-functionally to ensure clarity around KPIs, performance narratives, and success metrics across growth, creator health, engagement, monetization, and platform sustainability. - Ensure AI and UGC strategies incorporate trust, safety, privacy, regulatory readiness, and cost efficiency into strategic decision-making. - Identify new business models, partnership structures, and ecosystem opportunities that extend EA’s role from content creator to platform and community enabler. Mentor And Develop Strategy Talent - Foster a collaborative, inclusive, and high-performance culture that encourages curiosity, creativity, and analytical rigor. - Act as a senior mentor and sponsor to Strategy team members working across AI and innovation initiatives. - Help build institutional capability in emerging technology strategy, platform economics, and ecosystem thinking. Requirements - 12+ years of relevant experience in strategy, corporate development, business operations, consulting, product strategy, or GM-track roles, with 5+ years in a senior leadership capacity, ideally within gaming, technology platforms, AI-driven products, or consumer ecosystems. - Strong familiarity with AI-enabled products, creator or UGC platforms, marketplaces, or ecosystem-driven business models. - Strong analytical foundation and proven track record of defining strategy in emerging or ambiguous domains and translating it into clear priorities and measurable outcomes. - Demonstrated success partnering with senior executives, influencing high-stakes decisions, and operating effectively in high-visibility environments. - Exceptional executive communication skills, with the ability to distill complex technical and market dynamics into clear strategic narratives. - Passion for interactive entertainment, creator ecosystems, AI-driven innovation, and building enduring platforms that empower players and fans worldwide. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * California (depending on location e.g. Los Angeles vs. San Francisco) *$215,900 - $327,900 USD Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. We are hiring a Lead Data Scientist – Battlefield to join our Data & Insights (D&I) Data Science team, reporting to a Senior Manager of Data Science. The Data Science team partners with EA studios to build scalable AI/ML solutions that enhance player experience, game design, and live service performance. You will bring expertise in the area of AI, ML, and engineering. You will also lead efforts related to life cycle management, progression, in-game economies, and player experience, specifically, within the Battlefield franchise. Responsibilities - Work directly with Battlefield game team/partners (internal clients) to understand their offerings/domain and create data science products and solutions to solve for their use cases. - Apply problem-driven, AI/ML approaches to improve player experience, engagement, retention, and monetization systems. - Develop plans to generalize products across the franchise with our engineering partners. - Establish rigorous experimental design standards (A/B testing, causal inference, system experimentation) to produce actionable insights. - Collaborate with engineering partners to productionize models within live environments and gameplay systems. - Design and enhance data pipelines that process petabyte-scale telemetry data using technologies such as AWS, S3, Kubernetes, GCP, Python, Apache Kafka, and Hive. - Develop algorithms and statistical models for forecasting, player state prediction, churn analysis, progression balancing, and economic system tuning. - Communicate complex analytical concepts to technical and non-technical partners, influencing strategic decisions. - Mentor other data scientists and contribute to shared best practices across the D&I organization. Required Qualifications - Graduate degree in Statistics, Mathematics, Computer Science or another quantitative field encouraged. - 6+ years of professional experience manipulating data sets, building statistical models and productizing models along with experience applying Data Science methodologies to real-world problems. - Expertise in the gaming space, understanding typical business models, game development practices and technology. - Experience building applied models, systems or projects in the following areas: retention, economics/systems experiments, ad segmentation, ML/AI engineering and deployment technology. - Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools. - Familiarity with at least one scripting language: Python or R. - History of mentoring junior team members. - Knowledgeable about data warehouse and non-relational data techniques to work with engineering partners. - Experience using query languages and other analytic tools. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$141,400 - $204,400 CAD * Ontario *$141,400 - $192,100 CAD Pay is just one part of the overall compensation at EA. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. This role is for an existing vacancy. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Founded in 2010 by the original creators of the Call of Duty franchise, Respawn was created with the philosophy that when accomplished people have creative freedom, they'll make extraordinary games that achieve the unexpected. From our roots as an indie studio to joining the roster of studios at Electronic Arts, this remains our guiding principle. Our shipped titles include critically acclaimed multi-platform games Apex Legends, Titanfall, Titanfall 2, Star Wars™ Jedi: Fallen Order, and Medal of Honor: Above and Beyond. Join us for the opportunity to create groundbreaking games with some of the best developer talent in the industry. Apex Legends QV is looking for an experienced technology leader to accelerate our adoption of AI tools and tech. Reporting to senior QV leadership, you will help define and implement a multi-year AI strategy supporting our product goals and the needs of the business. You'll participate in evaluations of future technologies, recommending solutions to QA leaders, and partnering with QA and development teams to define requirements, develop onboarding materials, and guide successful implementation. Responsibilities - Analyze and identify AI solutions aligned with our quality mission. - Conduct and organize tech evaluations, measuring reliability, accuracy, and legal risk. - Prepare cost-benefit and comparison reports to inform tooling investment. - Provide regular reporting on AI/ML efforts, focusing on cost vs reward. - Gather use cases and translate them into engineering requirements. - Create documentation and training for new tools. - Measure AI/technology investment success using usage data and feedback. - Champion AI and automation technologies, promoting return on investment and sharing successes. - Architect systems for AI-driven data, surfacing balance issues, design flaws, and exploits. Qualifications - 5+ years' experience leading technology adoption in multinational organizations - Knowledge of AI prompting and optimizing response quality. - Hands-on LLM experience and awareness of ideal use cases. - Convert data/results into applicable business insights. - Deliver technical concepts to non-technical audiences. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Pour visualiser la description de poste en français, veuillez sélectionner le français dans le menu déroulant au haut de la page. Central Technology is a dynamic community of experts, innovators, and change-makers united by a single, shared vision: To revolutionize interactive entertainment and inspire creativity through transformative technology. Our industry-leading services and solutions are developed collaboratively with teams across EA to enhance creativity and improve outcomes for our partners and players. Central Technology is a force multiplier, working at the intersection of creativity, technology, and play to power our enterprise. Our teams develop EA's proprietary game engine, drive cutting-edge research, manage innovative infrastructures, create safety and security, and transform data into inspiration. Together, we keep EA moving so it can do what it does best — build unforgettable experiences for people who love games The Creative Innovation team is the driving force behind EA's cutting-edge research, 3rd-party partnerships, and content creation technologies. From AI-powered tools for character animation to groundbreaking world-building systems, this team researches, innovates, and integrates transformative technologies into creative workflows. By joining Creative Innovation, you'll work at the intersection of creativity, technology, and design solutions that redefine immersive gaming experiences. If you're looking for a team that combines the agility of a startup with the impact of a global AAA, then we're looking for you. Job Description We’re looking for an experienced Senior 2D artist to evaluate, shape, and showcase AI-enabled creative tools and workflows for game concept art, textures, materials, and visual ideation. You will use internal and external AI tools to create high-quality exploratory content that shows emerging capabilities beyond current production constraints. You will focus on experimentation, practical application, and promoting adoption across EA. You’re excited about the opportunity to be innovative and leverage your art skills with new tools and workflows. This is a 12-month temporary full-time role and will be hybrid onsite/remote at our Vancouver or Montreal studio. Responsibilities: - Work with AI-assisted workflows for concept art, textures, and materials - Evaluate output quality, controllability, and production viability - Deliver structured feedback to product and engineering teams with specific improvement recommendations - Produce high-quality examples, including iterations and before/after comparisons - Define quality benchmarks for AI-assisted content - Create guides, walkthroughs, and sample projects for internal use - Present workflows and findings through demos or documentation Qualifications: Required - 6+ years of experience as a 2D artist in games, film, or related industries - Expertise in concept art, texture creation, or material design - Portfolio demonstrating high-quality visual work and iteration process - Experience using game-ready workflows (e.g., PBR textures, production pipelines) - Hands-on experience evaluating or integrating new tools into art workflows Nice to Have - Experience with AI-assisted or procedural art tools - Experience creating internal documentation or training materials We want to connect you with job opportunities that align with your interests, skills, and expertise. When you create an EA Careers Account and are logged into the portal, you can click “Get Recommendations” to view a curated list of job openings. These recommendations are enhanced by automated processing, including artificial intelligence, and take into account your skills and experience. However, all employment decisions are made by our hiring teams, not by automated systems. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$122,300 - $170,700 CAD Pay is just one part of the overall compensation at EA. In Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, and extended health/dental/vision coverage and basic life insurance. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Pour visualiser la description de poste en français, veuillez sélectionner le français dans le menu déroulant au haut de la page. Central Technology is a dynamic community of experts, innovators, and change-makers united by a single, shared vision: To revolutionize interactive entertainment and inspire creativity through transformative technology. Our industry-leading services and solutions are developed collaboratively with teams across EA to enhance creativity and improve outcomes for our partners and players. Central Technology is a force multiplier, working at the intersection of creativity, technology, and play to power our enterprise. Our teams develop EA's proprietary game engine, drive cutting-edge research, manage innovative infrastructures, create safety and security, and transform data into inspiration. Together, we keep EA moving so it can do what it does best — build unforgettable experiences for people who love games The Creative Innovation team is the driving force behind EA's cutting-edge research, 3rd-party partnerships, and content creation technologies. From AI-powered tools for character animation to groundbreaking world-building systems, this team researches, innovates, and integrates transformative technologies into creative workflows. By joining Creative Innovation, you'll work at the intersection of creativity, technology, and design solutions that redefine immersive gaming experiences. If you're looking for a team that combines the agility of a startup with the impact of a global AAA, then we're looking for you. Job Description We are looking for a Senior 3D artist to evaluate, shape, and showcase AI-enabled workflows for 3D content creation, including models, environments, and scene development. You will use internal and external AI tools to create high-quality exploratory content that shows emerging capabilities beyond current production constraints. You will focus on experimentation, practical application, and promoting adoption across EA. You’re excited about the opportunity to be innovative and leverage your art skills with new tools and workflows. This is a 12-month temporary full-time role and will be hybrid onsite/remote at our Vancouver or Montreal studio. Responsibilities: - Work with AI-assisted workflows for modelling, environments, materials, and scene assembly - Create 3D models, textures, environments, or small scenes demonstrating AI-assisted pipelines - Develop examples aligned with real-world production use cases - Define quality benchmarks and best practices for AI-assisted 3D content - Create guides, walkthroughs, and sample projects for internal teams - Present workflows and findings through demos and documentation - Evaluate output quality, performance impact, and production viability within real-time constraints - Deliver structured feedback to product and engineering teams with specific improvement recommendations Qualifications: Required - 6+ years of experience as a 3D artist in games, film, or related industries - Expertise in environment art, modelling (hard surface or organic), or scene assembly - Portfolio demonstrating high-quality work and end-to-end asset or environment creation - Experience working with real-time engines and production pipelines (e.g., optimization, lighting, materials) - Experience evaluating or integrating new tools into 3D workflows Nice to Have - Experience with AI-assisted or procedural 3D tools - Experience building small interactive or playable scenes - Experience creating internal documentation or training materials We want to connect you with job opportunities that align with your interests, skills, and expertise. When you create an EA Careers Account and are logged into the portal, you can click “Get Recommendations” to view a curated list of job openings. These recommendations are enhanced by automated processing, including artificial intelligence, and take into account your skills and experience. However, all employment decisions are made by our hiring teams, not by automated systems. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$122,300 - $170,700 CAD Pay is just one part of the overall compensation at EA. In Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, and extended health/dental/vision coverage and basic life insurance. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. The ATOM team is responsible for building the future of AI-driven game testing. As a Senior Machine Learning Engineer for ATOM, you will report to the Director of AI for Quality Verification Services (QVS). You will fulfill high-impact applied research goals and help execute a vision that brings EA's games to life. Your mission is to discover and evaluate AI methods that increase the velocity and quality of next generation interactive experiences. Our team impacts every title in EA's portfolio, and you will work with all types of AI technology to improve our titles. Your Responsibilities Include: Execute the AI/ML technology roadmap. You will work with our Director of AI and Lead Scientist to define and execute the RnD roadmap for next-generation game-testing solutions. Your applied research will involve areas such as agentic workflows, RL/IL agents, code quality evaluation, bug-prediction models, multi-modal foundation models and generative content evaluation. Your goal is to assess any relevant AI technology for product readiness, and your work will touch every game in the EA umbrella. Development Strategy. Help decide which parts of the roadmap we should develop internally, which parts we should develop with external partners and which parts we should license . You will help build the team further. You will also have a significant compute budget to support your goals. Inform the development of robust AI platforms. ATOM's solutions will ultimately need to scale up to meet the needs of games across all of our studios. You will partner with other groups to inform them of what is required to scale these solutions. You will also define governance for data pipelines, simulation environments, and telemetry-collection systems that fuel rapid experimentation and development. Communicate outcomes. Work with the Development Director to communicate progress across the organization through reports, technical papers, demos, and prototypes that showcase improvements and help establish ATOM as an organizational leader in AI adoption. Stay current. Spend time in the literature and attend conferences to keep on top of advances in RL/IL, Computer Vision, and Natural Language Processing. Build & mentor a high-impact team. Help recruit, develop, and inspire top engineering talent and foster a collaborative, inclusive, and innovative culture that solves problems and provides value. Collaborate across the studio ecosystem. Coordinate with QA leadership, other research groups, enterprise teams and core game-development teams to integrate AI testing tools and ensure solutions tightly match use cases. Your Qualifications: - MSc in Computer Science, mathematics or related field - At least 8 years of experience working in AI engineering - Strong programming skills and understanding of software engineering practices - Experience working with both research and engineering contexts - Experience putting ML models into production - Experience leading other engineers Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$141,400 - $204,400 CAD Pay is just one part of the overall compensation at EA. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. XO AI Labs - Organization (EA Experiences / XO) Our EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favorites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims, just to name a few. We’re a multi-functional group, with world-class expertise building fandoms, driving interactive storytelling, and positioning our franchises at the center of the broader entertainment ecosystem. We inspire, connect, and engage fans through culturally relevant content, intentionally architected journeys across channels, and meaningful fan care. Our goal is to provide valuable, easy experiences that fans love – in our games, around our games, and through innovative adjacent experiences to grow and enrich how fans experience EA as we shape the future of entertainment. To empower more players and fans in new and amazing ways, we need more innovators to join our world-class team. The future of entertainment is interactive, and you can help lead that future, by growing and enriching how hundreds of millions of people (and counting) find joy and belonging, forge friendships, and celebrate their lived experiences through the work we do every single day, together. You will be the hands-on technical artist/producer , reporting to the head of XO AI Labs. You will design , prove , and productionize AI-powered creative workflows, creating creative and reliable image, video, and audio pipelines for creative and production teams. You'll architect the creative workflows for an end-to-end AI content creation and deployment solution (from dataset & prompt systems through approvals, versioning, and channel delivery). You will work in a startup-like environment : define requirements, rapidly prototype, iterate with stakeholders, and set new standards using the latest tools and models. You're creative, innovative, self-motivated, team-first , and equally strong working independently. You will create image, video, and audio pipelines and workflows that enable creatives to spend more time being creative. You will be a hybrid worker, collaborating with teams 3 days a week from the office ; international travel to collaborate with global teams is an added bonus. Responsibilities - Prove new AI based creative workflows: Rapidly prototype AI enabled image/video/audio pipelines, run technical validations, and draft playbooks for creative and production teams. - Own the end-to-end workflows: Specify requirements, data flows, and interfaces across briefing, generation, edit/review, rights/approvals, localization, and QC - Model & tooling mastery: Operationalize precision controls (e.g., LoRA, Control/conditioning, pose/layout, style transfer, in/outpainting, frame interpolation/upscaling) to deliver brand-true high quality visuals at scale. - Production integration: Connect workflows with source control, asset management/DAM, project trackers, render/encode farms, and publishing endpoints; define observability (quality gates, telemetry, cost). - Guardrails & governance: Embed IP usage, approvals, disclosures, and policy compliance into pipelines; define acceptance criteria, review checklists, and incident handling - Thought leadership: Provide thought leadership to our organization, promote "what could be"; lead “prove, pilot, and production” efforts; facilitate showcases and workshops for global partners. - Global collaboration: Coordinate with studios and regional teams; plan international on-sites to unblock adoption and ensure workflows meet local market needs. Lead the creation of image/video/audio hyper-culturalization and personalization at scale with brand-true creative. Qualifications - 8+ Years experience with production content creation (images, videos, etc...), 2+ years integrating AI into content production - 4+ years of leader experience, building, scaling, and leading teams - Demonstrated experience building AI-driven creative pipelines (image/video/audio) and putting them into production for marketing or production teams. Experience collaborating or working for creative agencies. - Hands-on with visual diffusion workflows, prompt & context systems, precise micro-adjustments (control/conditioning, adapters, fine-tuning/LoRA), and quality gates. - Practical video generation/editing experience (text-to-video, image-to-video, temporal consistency, editing/Upscaling/Interpolation) for campaign use. - Strong creative and production mindset : versioning, asset QC, rendering/encoding, delivery specs, performance & cost tracking. - Image and video model tuning and LoRa creation . Driving unique brand and style consistency in creative and production assets. - Ability to operate in a startup-like setting: requirements discovery, rapid prototyping, iterative delivery with measurable outcomes. - Collaboration & influence across creative, production, engineering, and legal/policy; excellent training & documentation skills. - Creativity , critical thinking , and excellent ability communicate complex concept to a non-technical audience (required). - Experience with Adobe Photoshop, Lightroom, ComfyUI, Veo, Nano Banana, diffusion models, controlnets, LoRa's, etc… - Willingness and ability to travel internationally Preferred Qualifications - Experience building or integrating end-to-end content platforms (brief, generate, review, approve, localize, and deploy), including telemetry/observability, cost controls, and quality controls - Background in motion/3D and creative tooling (e.g., After Effects/Premiere, Blender, Nuke, Unreal/Unity) and strong design fundamentals (typography/layout). - Familiarity with brand/IP approvals, rights management, and global campaign delivery. - Experience developing solutions leveraging generative engineering solutions (Cursor, Kiro, Claude Code, etc…) About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. The Infrastructure and Platform Services (IPS) team serves as the backbone of EA's global ecosystem, supporting the creation of exceptional games and immersive player experiences. We offer essential platforms such as Cloud, Commerce, AI, Gameplay Services, Identity, and Social. By delivering reusable capabilities, we enable game teams to seamlessly integrate our services, allowing them to concentrate on crafting some of the world's best games and fostering meaningful connections with players. As the driving force behind the scenes, we ensure everything works in harmony. Join us in shaping the future of play. The Challenge Ahead The AI Platform team delivers centralized AI resources across all Electronic Arts franchises, crafting AI and Generative AI solutions alongside a shared AI infrastructure for company-wide application. Our team supports initiatives such as data modeling, model training and fine-tuning, and agent development. We provide solutions and platforms that empower the future of game development, marketing, sales, and player experiences. As a Software Engineer with expertise in AI/ML systems and platform development, you will help lead the creation of a scalable AI Platform. You will report to the Senior Manager of the AI Platform team. Responsibilities: - You will develop core AI platform components to support machine learning lifecycle workflows. - You will implement and maintain cloud-based infrastructure to support scalable ML workloads. - You will automate end-to-end AI workflows, building CI/CD pipelines for model deployment, containerised micro-services and metric instrumentation for model performance and monitoring. - You will work with data scientists, ML engineers and game developers to integrate ML models into production systems, support deployment, conduct testing and troubleshoot performance or reliability issues in live environments. - You will develop scripts, services or platform modules for feature pipelines, model orchestration, data-lake or lakehouse interactions. - You will monitor and optimise model performance, scalability, and cost-efficiency in production. Qualifications: - 3+ years of professional software engineering experience with a focus on AI/ML systems or platform development - Proficiency in Python programming - Familiarity with deep-learning frameworks (e.g., PyTorch) and an understanding of machine learning lifecycle --including model development, evaluation, deployment - Experience working with containerisation (Docker), orchestration (Kubernetes) and CI/CD pipelines in a cloud environment - Exposure to cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tooling (e.g., Terraform, CloudFormation) - Experience with data-lake or lakehouse technologies (e.g., Spark, Redshift, Snowflake, or Trino) - Understanding of deploying and monitoring ML models in production, including performance, scalability, reliability and cost considerations. Bonus: - Exposure to generative AI technologies (e.g., diffusion models, large language models) - Experience in a live service or gaming environment - Prior project work in end-to-end ML systems\ This is a hybrid remote/in-office role. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$104,500 - $142,800 CAD Pay is just one part of the overall compensation at EA. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Location: Hyderabad | Hybrid Position Type: Temporary Full-Time Experience Level: 8+ years of professional systems software engineering experience About the Team GameKit Operations (GKO) enables EA’s game creation ecosystem through scalable services and intelligent automation. The GameKit Assistant (GKA) is our AI-driven platform that supports developers, artists, and engineers across game creation products like Shift, Jukebox, and Tryouts, along with supporting COTS products like Jira, Gitlab, Artifactory, Perforce. GKA is evolving from a documentation-based chatbot into a Python-powered, context-aware operations assistant that delivers real-time insights and automation at scale. We are expanding our team with engineers who bring strong Python expertise, an understanding of systems design, and a passion for building the connective tissue between AI and production systems. Role Overview We are seeking an AI Solutions Engineer with strong Python expertise to design and implement intelligent integrations for the GameKit Assistant. This role is deeply technical and requires hands-on experience building robust, secure, and maintainable backend services in Python. You will build the interfaces and orchestration logic that allow GKA to communicate with internal tools and commercial platforms through the Model Context Protocol (MCP) and function-calling frameworks. The position involves designing schema-driven APIs, implementing automation pipelines, and collaborating across teams to deliver context-aware AI functionality. Key Responsibilities Python Engineering - Design and implement scalable backend services in Python using frameworks such as FastAPI, Flask, or Django REST Framework . - Build and maintain data-access layers, caching mechanisms, and API wrappers that power MCP integrations. - Implement schema validation, error handling, and retry logic for reliable automation. - Write high-quality, tested, and maintainable code with strong adherence to EA security and performance standards. MLOps and Pipeline Engineering - Implement MLOps pipelines for model training, deployment, and monitoring using tools such as Kubeflow, MLflow, SageMaker, and Terraform . - Integrate with existing Kubernetes and Docker infrastructure for scalable AI service orchestration. - Collaborate with AI Engineering to automate model evaluation and continuous improvement workflows. RAG and Evaluation Systems - Implement and maintain retrieval-augmented generation (RAG) systems and internal knowledge bases. - Work with vector databases such as Azure Cognitive Search , manage embeddings, chunking, reranking, and retrieval logic. - Contribute to performance evaluation frameworks for model outputs using Scikit-learn, PyTorch, or TensorFlow for metrics integration (no model training expected). AI and MCP Integration - Develop and maintain MCP wrappers for key GameKit products (Shift, Jukebox, Perforce). - Implement function calling and orchestration logic that connects multiple systems to provide contextual insights. - Prototype integrations with commercial MCPs (GitLab, Jira, Confluence) to validate interoperability. - Contribute to evaluation pipelines to measure assistant accuracy and API reliability. Systems and Platform Engineering - Apply systems engineering principles to design integrations that are modular, observable, and easy to maintain. - Work with ArgoCD, Kubernetes, and Docker to deploy and monitor services. - Implement metrics, logging, and alerting for all automation endpoints using tools such as Grafana and Prometheus . - Ensure integrations comply with EA’s authentication, authorization, and data-governance policies. - Participate in system design discussions focused on how to bring models “alive” within production pipelines. - Design end-to-end integrations that bridge AI orchestration, MLOps, and backend infrastructure for reliability and scale. - Collaboration and Enablement - Partner with AI, Ops, and Product Engineering teams to define schemas, error models, and test suites. - Mentor peers on Python best practices, performance tuning, and secure API design. - Document workflows, integration standards, and technical guidelines for broader adoption. Qualifications and Experience - 8+ years of experience in Python engineering , with exposure to machine learning and MLOps ecosystems (Kubeflow, MLflow, SageMaker, Terraform). - Advanced understanding of RESTful APIs, OpenAPI/Swagger , and schema-driven design. - Proven experience integrating external APIs and designing resilient service-to-service communication. - Solid understanding of authentication frameworks (OAuth2, JWT) and secure credential handling. - Experience with CI/CD pipelines , Git, and cloud deployment environments. - Exposure to observability stacks (Prometheus, Grafana, ELK) and debugging production systems. - Working knowledge of Docker, Kubernetes , ArgoCD and containerized deployments for ML or AI-based systems. - Familiarity with RAG architectures , embedding models, and vector databases (e.g., Azure Cognitive Search, Pinecone, Weaviate). - Awareness of evaluation frameworks such as Scikit-learn, PyTorch, or TensorFlow , with the ability to integrate metrics or run validation jobs (not model training). - Experience contributing to AI pipeline design and integrating models into production systems. - Bonus: prior work with MCPs, OpenAI, or enterprise automation platforms such as ServiceNow or Power Automate. Who You Are - A Python enthusiast who writes clean, well-tested, and performant code. - A systems thinker who enjoys solving complex integration and orchestration challenges. - A collaborative engineer who values documentation, mentoring, and teamwork. - Curious about AI enablement and motivated by turning complex workflows into simple, reliable automation. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favorites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims, just to name a few. We're a multi-functional group, with world-class expertise building fandoms, driving interactive storytelling, and positioning our franchises at the center of the broader entertainment ecosystem. We inspire, connect, and engage fans through culturally relevant content, intentionally architected journeys across channels, and meaningful fan care. Our goal is to provide valuable, easy experiences that fans love – in our games, around our games, and through innovative adjacent experiences to grow and enrich how fans experience EA as we shape the future of entertainment. To empower more players and fans in new and amazing ways, we need more innovators to join our world-class team. The future of entertainment is interactive, and you can help lead that future, by growing and enriching how hundreds of millions of people (and counting) find joy and belonging, forge friendships, and celebrate their lived experiences through the work we do every single day, together. You will be an innovator of AI solutions, understanding the future of AI technologies, how they can provide transformation and efficiency opportunities for the EA Experiences organization, and rapidly prototype and deploy the most promising capabilities. You will report to and collaborate closely with the Head of AI Enablement for EA Experiences and collaborate closely with a global team across Europe, North America, and Southeast Asia. This role will define requirements, rapidly prototype, iterate with stakeholders, and establish reusable architectures, standards, and patterns using the latest AI engineering methodologies, models, tools, and platforms. You're creative, innovative, self-motivated, and team-first, equally strong at problem-solving and collaborating across creative, product, marketing, data, and engineering teams. You will be hands-on creating and implementing scalable solutions and workflows that enable teams to spend more time on high-value, creative, and strategic work and drive significant revenue for EA. You will be a hybrid worker, collaborating with teams 3 days a week from the Galway office; international travel to collaborate with global teams is an added bonus. Responsibilities : - Deeply understand the future of Generative AI technologies, with a strong grasp of traditional AI and ML - Rapidly prototype and creative innovative solutions that drive significant increases in player engagement, expansion of EA’s core business, and efficiency opportunities - Design and implement GenAI-native solutions and multi-agent workflows that transform content creation, data and analytics, and core business processes, from idea through production deployment. - Drive AI-enabled content creation: Build and evolve AI pipelines, assistants, and tools that help creative, marketing, and franchise teams ideate, generate, localize, and optimize content (image, video, copy, interactive experiences) at scale while staying on-brand and fan-first. - Productionize and integrate AI systems: Own the path from prototype to production—integrating AI solutions with existing platforms, services, and workflows, and defining observability, reliability, and performance baselines. - Drive adoption of new GenAI based architectures, patterns, and tooling: Create and maintain reusable reference architectures, design patterns, SDKs, and templates for agents, multi-agent workflows, RAG, and LLM/vision/diffusion integrations to accelerate adoption across teams. - Partner and co-create with cross-functional teams: Collaborate with creative, product, marketing, data, engineering, operations, and legal partners to identify high-value AI opportunities, shape requirements, and ensure solutions are usable, scalable, and aligned to business goals. - Lead experimentation and continuous improvement: Run “prove, pilot, production” cycles, define success metrics, analyze performance and fan impact, and continuously refine models, prompts, workflows, and UX based on data and stakeholder feedback. Develop and lead AI first engineering processes to accelerate product, engineering, and delivery - Evangelize and upskill the organization: Provide thought leadership on AI, share best practices, host demos and workshops, and coach teams on how to leverage agents, LLMs, vision/diffusion models, and AI workflows as force-multipliers in their day-to-day work. Qualifications : - 8+ years of experience architecting, prototyping, and deploying robust production solutions that incorporate software engineering, infrastructure, architectural, and security best practices. - Strong Python development skills; experience with C#, JavaScript, HTML, and CSS is beneficial. - Hands-on experience using agentic AI software engineering solutions (e.g., Claude Code, Kiro, or similar) to accelerate development and experimentation. - 3+ years implementing AI solutions driving measurable business impact. - Excellent working knowledge of: prompt and context engineering; AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP); AI assistants, RAG, embeddings, and vector databases, evaluation, benchmarking, and guardrails. - Experience tuning language and diffusion models, labeling and tagging data, and architecting data pipelines - Deep understanding of architecture and design principles, and cloud services, specifically AWS, Azure and GCP are beneficial - Enterprise architecture and micro-services design; observability and telemetry; infrastructure as code and CI/CD pipelines About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Our EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favorites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims, just to name a few. We’re a multi-functional group, with world-class expertise building fandoms, driving interactive storytelling, and positioning our franchises at the center of the broader entertainment ecosystem. We inspire, connect, and engage fans through culturally relevant content, intentionally architected journeys across channels, and meaningful fan care. Our goal is to provide valuable, easy experiences that fans love – in our games, around our games, and through innovative adjacent experiences to grow and enrich how fans experience EA as we shape the future of entertainment. To empower more players and fans in new and amazing ways, we need more innovators to join our world-class team. The future of entertainment is interactive, and you can help lead that future, by growing and enriching how hundreds of millions of people (and counting) find joy and belonging, forge friendships, and celebrate their lived experiences through the work we do every single day, together. You will be the hands-on AI architect and engineer, reporting to the Head of AI Enablement for EA Experiences. You will design, create, and deploy AI-powered solutions that transform content creation, data and analytics, and transform our business processes and systems. You'll architect and ship innovative AI native solutions that leverage agents, multi-agent workflows, guardrails, knowledge bases, knowledge graphs, LLM's, vision models, diffusion models, and related technologies. You will define requirements, rapidly prototype, iterate with stakeholders, and establish reusable architectures, standards, and patterns using the latest AI engineering methodologies, models, tools, and platforms. You're creative, innovative, self-motivated, and team-first, equally strong at problem-solving and collaborating across creative, product, marketing, data, and engineering teams. You will create scalable AI pipelines and workflows that enable teams to spend more time on high-value, creative, and strategic work. You will be a hybrid worker, collaborating with teams 3 days a week from the office; international travel to collaborate with global teams is an added bonus. Responsibilities: - Architect end-to-end AI solutions: Design and implement AI-native solutions and multi-agent workflows that transform content creation, data and analytics, and core business processes, from idea through production deployment. - Drive AI-enabled content creation: Build and evolve AI pipelines, assistants, and tools that help creative, marketing, and franchise teams ideate, generate, localize, and optimize content (image, video, copy, interactive experiences) at scale while staying on-brand and fan-first. - Lead data, knowledge, and RAG architectures: Define and implement data lakes, vector stores, knowledge bases, and knowledge graphs to power intelligent assistants and solutions. - Productionize and integrate AI systems: Own the path from prototype to production—integrating AI solutions with existing platforms, services, and workflows, and defining observability, reliability, and performance baselines. - Embed guardrails, safety, and governance: Implement guardrails, policies, and evaluation frameworks that address IP, privacy, security, safety, and bias; define acceptance criteria, red/amber/green thresholds, and incident handling for AI-powered systems. - Standardize architectures, patterns, and tooling: Create and maintain reusable reference architectures, design patterns, SDKs, and templates for agents, multi-agent workflows, RAG, and LLM/vision/diffusion integrations to accelerate adoption across teams. - Partner and co-create with cross-functional teams: Collaborate with creative, product, marketing, data, engineering, operations, and legal partners to identify high-value AI opportunities, shape requirements, and ensure solutions are usable, scalable, and aligned to business goals. - Lead experimentation and continuous improvement: Run “prove, pilot, production” cycles, define success metrics, analyze performance and fan impact, and continuously refine models, prompts, workflows, and UX based on data and stakeholder feedback. Develop and lead AI first engineering processes to accelerate product, engineering, and delivery. - Evangelize and upskill the organization: Provide thought leadership on AI, share best practices, host demos and workshops, and coach teams on how to leverage agents, LLMs, vision/diffusion models, and AI workflows as force-multipliers in their day-to-day work. Your Qualifications - 8+ years of experience architecting, prototyping, and deploying robust production solutions that incorporate software engineering, infrastructure, architectural, and security best practices. - Strong Python development skills; experience with C#, JavaScript, HTML, and CSS is beneficial. - Hands-on experience using agentic AI software engineering solutions (e.g., Kiro, Cursor, or similar) to accelerate development and experimentation. - 3+ years implementing AI solutions driving measurable business impact. - Excellent working knowledge of: prompt and context engineering; AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP); AI assistants, RAG, embeddings, and vector databases, evaluation, benchmarking, and guardrails. - Experience tuning language and diffusion models, labeling and tagging data, and architecting data pipelines. - Deep understanding of architecture and design principles, and cloud services, specifically AWS, Azure and GCP are beneficial. - Enterprise architecture and microservices design; observability and telemetry; infrastructure as code and CI/CD pipelines. - Experience navigating the legal, ethical, and security implications for AI, including data privacy, IP, safety, and responsible use of Generative AI. - 4+ years experience leading cross-functional teams and collaborate effectively with global teams. - Experience approaching a problem from different angles, analyzing pros and cons of different solutions, and analytical problem-solving skills, with the ability to reframe problems, explore multiple options, and land pragmatic, high-impact solutions. - Excellent ability to clearly communicate complex concepts simply and clearly. Weave an engaging narrative that clearly communicates complex concepts and demonstrates business impact. - Customer- and player-centric mindset, with a passion for building solutions that empower teams and delight fans. - Enjoy and prioritize continual learning – staying up to date with the newest AI technologies, models, tools, and solution patterns, and understanding how they can benefit EA Experiences. - Thrive working both collaboratively and independently in a fast-paced, dynamic environment; comfortable operating in a startup-like setting within a large organization. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favorites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims, just to name a few. We're a multi-functional group, with world-class expertise building fandoms, driving interactive storytelling, and positioning our franchises at the center of the broader entertainment ecosystem. We inspire, connect, and engage fans through culturally relevant content, intentionally architected journeys across channels, and meaningful fan care. Our goal is to provide valuable, easy experiences that fans love – in our games, around our games, and through innovative adjacent experiences to grow and enrich how fans experience EA as we shape the future of entertainment. To empower more players and fans in new and amazing ways, we need more innovators to join our world-class team. The future of entertainment is interactive, and you can help lead that future, by growing and enriching how hundreds of millions of people (and counting) find joy and belonging, forge friendships, and celebrate their lived experiences through the work we do every single day, together. AI Infrastructure Engineer As the AI Infrastructure Engineer , you will design and operate AI-powered, cloud-native infrastructure that is self-monitoring, self-healing, and secure by default. You will lead the implementation of AIOps practices, build infrastructure as software using frameworks like AWS CDK, and establish standards for CI/CD, observability, traceability, and DevSecOps. Working across systems, you will enable reliable event-driven integrations and ensure continuous validation of system health, performance, and security. This is a hands-on leadership role combining deep technical execution with architectural ownership, driving scalable, autonomous, and resilient platform capabilities across the organization. You will play a key role in transforming our infrastructure from traditional DevOps to AI-driven, autonomous operations. You will define how systems are built, integrated, secured, and operated—enabling teams to move faster while maintaining high reliability, visibility, and control at scale. Responsibilities - Lead the design and implementation of AI-powered DevOps (AIOps) capabilities, including anomaly detection, predictive alerting, and automated remediation - Build and operate self-monitoring and self-healing systems using event-driven automation - Architect and implement infrastructure as software using programmable IaC frameworks (AWS CDK preferred) - Develop reusable infrastructure patterns, shared libraries, and platform standards across teams - Establish end-to-end observability and traceability across services, pipelines, and data flows - Design and govern CI/CD pipelines that provision, validate, and deploy infrastructure with embedded security and compliance controls (DevSecOps) - Define and implement security best practices, including policy enforcement, identity management, and continuous validation of system posture - Design and support event-driven integration patterns across internal systems, ensuring reliable communication and signal propagation - Define SLIs/SLOs and lead incident response, postmortems, and continuous reliability improvements - Mentor engineers and influence architecture decisions across teams Qualifications - 7+ years of experience in DevOps, Site Reliability Engineering (SRE), platform engineering, or systems engineering - Strong expertise in AWS across compute, storage, networking, and IAM - Experience designing and operating systems supporting both traditional services and AI/ML workloads - Advanced experience with Infrastructure as Code, with emphasis on AWS CDK and reusable infrastructure patterns - Deep experience with observability tools (Datadog, Prometheus, Grafana, OpenTelemetry) and distributed systems debugging - Strong experience building CI/CD pipelines with integrated infrastructure provisioning, testing, and security controls - Experience with event-driven architectures (Kafka, SNS/SQS) and system integrations - Proficiency in Python, Typescript, or similar programming languages - Strong understanding of security principles, including least privilege, identity controls, and secure system design Nice to Have - Experience with SageMaker, Bedrock and AgentCore, Kubernetes (EKS) and container orchestration at scale - Experience with Data Lakehouse platforms (e.g., Databricks) and data pipeline integration - Experience building internal developer platforms or shared infrastructure frameworks - Experience creating custom CDK constructs or platform tooling - Familiarity with policy-as-code and continuous compliance frameworks - Exposure to real-time systems or high-scale consumer platforms - Background in gaming, media, or large-scale consumer ecosystems Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$122,300 - $170,700 CAD Pay is just one part of the overall compensation at EA. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Our EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favorites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims, just to name a few. We’re a multi-functional group, with world-class expertise building fandoms, driving interactive storytelling, and positioning our franchises at the center of the broader entertainment ecosystem. We inspire, connect, and engage fans through culturally relevant content, intentionally architected journeys across channels, and meaningful fan care. Our goal is to provide valuable, easy experiences that fans love – in our games, around our games, and through innovative adjacent experiences to grow and enrich how fans experience EA as we shape the future of entertainment. To empower more players and fans in new and amazing ways, we need more innovators to join our world-class team. The future of entertainment is interactive, and you can help lead that future, by growing and enriching how hundreds of millions of people (and counting) find joy and belonging, forge friendships, and celebrate their lived experiences through the work we do every single day, together. You will be an innovator of AI solutions, understanding the future of AI technologies, how they can provide transformation and efficiency opportunities for the EA Experiences organization, and rapidly prototype and deploy the most promising capabilities. You will report to and collaborate closely with the Head of AI Enablement for EA Experiences and collaborate closely with a global team across Europe, North America, and Southeast Asia. This role will define requirements, rapidly prototype, iterate with stakeholders, and establish reusable architectures, standards, and patterns using the latest AI engineering methodologies, models, tools, and platforms. You're creative, innovative, self-motivated, and team-first, equally strong at problem-solving and collaborating across creative, product, marketing, data, and engineering teams. You and your team will be hands-on creating and implementing scalable solutions and workflows that enable teams to spend more time on high-value, creative, and strategic work and drive significant revenue for EA. You will be a hybrid worker, collaborating with teams 3 days a week from the office; international travel to collaborate with global teams is an added bonus. Responsibilities: - Deeply understand the future of Generative AI technologies, with a strong grasp of traditional AI and ML - Rapidly prototype and creative innovative solutions that drive significant increases in player engagement, expansion of EA’s core business, and efficiency opportunities - Design and implement GenAI-native solutions and multi-agent workflows that transform content creation, data and analytics, and core business processes, from idea through production deployment. - Drive AI-enabled content creation: Build and evolve AI pipelines, assistants, and tools that help creative, marketing, and franchise teams ideate, generate, localize, and optimize content (image, video, copy, interactive experiences) at scale while staying on-brand and fan-first. - Productionize and integrate AI systems: Own the path from prototype to production—integrating AI solutions with existing platforms, services, and workflows, and defining observability, reliability, and performance baselines. - Drive adoption of new GenAI based architectures, patterns, and tooling: Create and maintain reusable reference architectures, design patterns, SDKs, and templates for agents, multi-agent workflows, RAG, and LLM/vision/diffusion integrations to accelerate adoption across teams. - Partner and co-create with cross-functional teams: Collaborate with creative, product, marketing, data, engineering, operations, and legal partners to identify high-value AI opportunities, shape requirements, and ensure solutions are usable, scalable, and aligned to business goals. - Lead experimentation and continuous improvement: Run “prove, pilot, production” cycles, define success metrics, analyze performance and fan impact, and continuously refine models, prompts, workflows, and UX based on data and stakeholder feedback. Develop and lead AI first engineering processes to accelerate product, engineering, and delivery - Evangelize and upskill the organization: Provide thought leadership on AI, share best practices, host demos and workshops, and coach teams on how to leverage agents, LLMs, vision/diffusion models, and AI workflows as force-multipliers in their day-to-day work. Your Qualifications - 8+ years of experience architecting, prototyping, and deploying robust production solutions that incorporate software engineering, infrastructure, architectural, and security best practices. - Strong Python development skills; experience with C#, JavaScript, HTML, and CSS is beneficial. - Hands-on experience using agentic AI software engineering solutions (e.g., Kiro, Cursor, or similar) to accelerate development and experimentation. - 3+ years implementing AI solutions driving measurable business impact. - Excellent working knowledge of: prompt and context engineering; AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP); AI assistants, RAG, embeddings, and vector databases, evaluation, benchmarking, and guardrails. - Experience tuning language and diffusion models, labeling and tagging data, and architecting data pipelines - Deep understanding of architecture and design principles, and cloud services, specifically AWS, Azure and GCP are beneficial - Enterprise architecture and microservices design; observability and telemetry; infrastructure as code and CI/CD pipelines About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity. With more opportunity than ever to design, innovate and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom EA SPORTS is at the forefront of revolutionizing the world of gaming by driving transformational change in how games are made and played. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive. The FC Generative AI team is researching and developing Machine Learning based game features that will enrich the experience of our players and transform the ways they interact with the FC game. In this role you will join our cross-functional team to research, develop and integrate Machine Learning models from ideation and requirement analysis to productizing their application in FC game features. Your responsibilities: - Research and evaluate Machine Learning models and techniques for application in fields that include but are not limited to: automatic speech recognition, natural language processing and procedural content generation. - Tailor the functionality of these models and inference frameworks to fit FC’s requirements and integrate them into the game’s systems. - Optimize on device C++ runtime inference systems to match target platform constraints and meet performance KPIs. - Share knowledge on your work by directly engaging with other members of the game team to develop and ship features. - Evangelize the craft through presentations and interactive demonstrations, promoting Machine Learning best practices and applications within the team. - Stay abreast of the latest advancements in the Machine Learning field, consult with internal subject matter experts and collaborate with external AI technology vendors, in order to identify and prototype ML application opportunities within FC. Required qualifications: - BS in Computer Science, Mathematics or related field, or equivalent professional experience. - Strong computer programming fundamentals, proficiency in C++ and Python. - Applied experience with optimising Machine Learning inference systems across memory, compute, latency or other real-time constraints. - Proven record of building, deploying and maintaining Machine Learning applications in productized software. Preferred qualifications: - PhD or Masters degree in Computer Science, Mathematics or related fields. - Experience with ML frameworks like PyTorch or TensorFlow. - Experience in optimizing ML models for memory and compute constrained real-time environments. - Experience working with real-time rendering engines and IHV GPU / NPU specific parallel computing platforms. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games. Our Advanced Technology Group is part of the EA SPORTS Technology organization, focusing on identifying and creating new, scalable technologies for game teams. We closely collaborate with game teams, central art teams, and the Frostbite engine team; though the technologies developed can apply to many different engines, environments, and hardware platforms. You will work on our strategic, multi-year projects focused on content creation experiences, improved creation pipelines and runtime functionality, both internal and player facing, for all EA SPORTS titles. We are seeking Machine Learning experts with a practical mindset, passionate about creating useful tools and innovative features, eager to see their work impact fellow developers and millions of gamers, who take responsibility for ideation through productization. Reporting to the Lead Development Director, the Machine Learning Engineer will join us in creating intuitive experiences powered by ML, pushing the boundaries of game fidelity and bringing our characters to life! Your Responsibilities: - Stay current with cutting-edge research in Machine Learning , continuously evaluating how new ideas can be applied to games. - Invent and build ML-driven solutions for complex problems in character animation, agent behavior, physics simulation, and content generation . - Design and implement production-ready ML systems that respect real-world game development constraints such as performance, tooling, and iteration speed. - Create intuitive, easy-to-use workflows that reduce repetitive manual work while empowering creators to move faster and think bigger. - Give users meaningful creative control over model behavior, making experimentation, iteration, and debugging fast and approachable. - Optimize models and pipelines to minimize training and inference time without sacrificing quality. - Evaluate, extend, and improve both internal and external ML technologies , pushing them further for game-specific use cases. - Work closely with content creators and software engineers to ensure tools are maintainable, effective, and genuinely enjoyable to use . Your Qualifications: - A Bachelor’s degree in Computer Science, Applied Math, Statistics, Machine Learning , or equivalent practical experience. - Expert-level proficiency in Python , with deep hands-on experience writing clean, scalable, and high-performance code. - Strong command of advanced language features such as generators, decorators, and context managers . - A solid foundation in linear algebra, statistics, and mathematical optimization . - 1–2+ years of hands-on Machine Learning experience , with a strong, practical, problem-solving mindset. - The ability to take ideas from research paper to working system , balancing innovation with usability and performance. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$141,400 - $204,400 CAD Pay is just one part of the overall compensation at EA. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.