AI Enablement Engineer
Electronic Arts (EA) · Kirkland, WA
- On site
- Full-time
- $170,000 / year
- Kirkland, WA
Job highlights
- Develop cutting-edge AI solutions for EA Experiences.
- Collaborate with teams to understand business challenges.
- Rapidly create innovative AI solutions for efficiency.
- Productionize GenAI solutions for internal teams.
- Focus on fan-centric experiences and innovation.
About the role
AI Solutions Engineer | EA Experiences
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.
Description & Requirements
As an AI Solutions 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 with 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
- 4+ 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).
- Experience with Enterprise architecture and microservices design.
- Experience with Observability and telemetry.
- Experience with 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).
Key skills/competency
- AI Solutions Engineering
- Generative AI (GenAI)
- Python Development
- Cloud Services (AWS)
- Prompt Engineering
- AI Agents
- RAG
- Vector Databases
- Software Engineering Best Practices
- CI/CD
Skills & topics
- AI Solutions Engineer
- Artificial Intelligence
- Generative AI
- Python
- AWS
- Software Engineering
- Cloud Computing
- Prompt Engineering
- RAG
- Vector Databases
- EA
- Electronic Arts
- Gaming
- Entertainment
How to get hired
- Tailor your resume: Highlight Python skills, AI/GenAI experience, and cloud platforms. Quantify achievements with metrics.
- Showcase AI projects: Demonstrate experience with agentic AI, RAG, vector databases, and prompt engineering.
- Emphasize collaboration: Detail experience working with diverse teams to solve business challenges.
- Prepare for technical interviews: Expect questions on Python, AI concepts, cloud architecture, and CI/CD.
- Understand EA's culture: Research EA's commitment to player experience and innovation.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific AI technologies is Electronic Arts looking for in an AI Solutions Engineer?
- Electronic Arts is seeking expertise in prompt and context engineering, AI agents, agentic architectures, tool calling, Model Context Protocol (MCP), AI assistants, RAG, embeddings, vector databases, and model tuning, evaluation, benchmarking, and guardrails.
- What are the key programming languages for the AI Solutions Engineer role at EA?
- Excellent Python development skills are required. C#, JavaScript, HTML, and CSS are strongly preferred for this AI Solutions Engineer position at Electronic Arts.
- Does EA require experience with specific cloud platforms for AI Solutions Engineers?
- While AWS is the primary focus, experience with Azure and GCP cloud services is considered optional for the AI Solutions Engineer role at Electronic Arts.
- What kind of production experience is expected for an AI Solutions Engineer at Electronic Arts?
- The role requires 4+ years of experience in rapidly prototyping and deploying robust production solutions, incorporating software engineering, infrastructure, architectural, and security best practices.
- Is experience with game development or game engines beneficial for the AI Solutions Engineer role?
- Yes, experience integrating AI solutions with AAA Console/PC games and businesses is beneficial. Experience with game engines like Unity or Unreal is also considered a plus.
- What is the work arrangement for the AI Solutions Engineer position at Electronic Arts?
- The job description does not explicitly state the work arrangement, but typically such roles at large tech companies are hybrid or remote. Given the emphasis on collaboration, a hybrid model is likely, but this should be confirmed directly.
- How does Electronic Arts approach AI ethics and security for AI Solutions Engineers?
- Candidates are expected to have experience navigating the legal, ethical, and security implications for AI, indicating a strong focus on responsible AI development and deployment.
- What are the career growth opportunities for an AI Solutions Engineer at EA?
- EA emphasizes continual learning and staying up-to-date with new technologies. The role offers opportunities to grow and enrich how millions of players experience EA's games and services.
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