AI Enablement Architect Lead

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

*…