AI Enablement Architect

Locations

• Austin, Texas, United States of America
• Vancouver, Canada
• Kirkland, United States of America

Role

Worker Type Regular Employee

Studio/Department Other

Work Model Hybrid

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.

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.

• 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…