Electronic Arts (EA) is looking for an AI Enablement Architect to join our team. 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 our business processes and systems, helping to shape the future of entertainment for our fans.
What You'll Do
- 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.
- 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 at scale.
- 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 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.
- 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 and ensure solutions are usable and scalable.
- 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.
- Evangelize and upskill the organization: Provide thought leadership on AI, share best practices, host demos and workshops, and coach teams on leveraging AI as a force-multiplier.
What We're Looking For
- 8+ years of experience architecting, prototyping, and deploying robust production solutions incorporating software engineering, infrastructure, and security best practices.
- Strong Python development skills.
- 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, vector databases, evaluation, benchmarking, and guardrails.
- Experience tuning language and diffusion models, labeling and tagging data, and architecting data pipelines.
- 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 collaborating effectively with global teams.
- 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, weaving an engaging narrative that 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.
- Thrive working both collaboratively and independently in a fast-paced, dynamic environment; comfortable operating in a startup-like setting within a large organization.
Nice to Have
- 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.
- Deep understanding of architecture and design principles, and cloud services, specifically AWS, Azure and GCP are beneficial.
Technical Stack
- Languages: Python, C#, JavaScript, HTML, CSS
- Cloud Platforms: AWS, Azure, GCP
Team & Environment
You will be reporting to the Head of AI Enablement for EA Experiences.
Work Mode
This role operates under a hybrid work model.
Electronic Arts is an equal opportunity employer.
