Software Engineer

to work effectively with our internal community, external vendors, and our teams 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.Qualifications3+ years developing enterprise-level solutions, preferably with recent focus on integrating AI into those solutions.Prefer hands-on experience integratingLLMs (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.2+ 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 HaveExperience 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.About Electronic ArtsWere 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

Description & RequirementsElectronic 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 WillParticipate 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, 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.