AI Enablement Intern (Summer 2027)

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.

At Electronic Arts, we exist to Inspire the World to Play. Fan Care powers player support operations, experience management, and workflows that help our global teams to support world-class gaming experiences for millions of players worldwide.

The System Owners team operates at the intersection of enterprise tech, workflow strategy, and functional platform stewardship. We guide internal platforms and support ecosystems through every phase of their lifecycle. This includes leading research, intake, prioritization, requirements definition, and sprint planning to ensure our delivery platform remains modern, scalable, and efficient.

Position Overview

We are looking for an AI Enablement Intern to join the System Owners team within Fan Care for Summer 2027. You will scale and evolve our Agentic AI Framework — a system built to accelerate software delivery, operational workflows, and cross-platform integrations.

While partner engineering teams handle deep architecture, code execution, testing, and deployment, the System Owners team shapes the platform strategy — driving intake, research, functional requirements, and workflow prioritization. As an AI Enablement Intern, you will analyze how our teams work with agentic workflows, identifying functional gaps, and defining platform capabilities that enhance operational efficiency and system effectiveness. Promoting standardized, declarative instruction patterns (such as domain-specific skills.md architectures) will empower additional partners to adapt agentic workflows to their domains.

Responsibilities & Internship Project

• Agentic Framework Solution Enhancement: Define the functional requirements (BRDs, user stories, workflow maps) and operating models for a plug-and-play agentic framework. Help structure standardized skill layers (e.g., modular skills.md configurations) that allow additional teams to customize agent intake, business logic, and persona instructions without altering core code.
• Intake & Discovery: Conduct qualitative research and workflow analysis with our partners (Architecture, Engineering, QA, Fan Care Operations, and Support) to uncover pain points and high-value automation opportunities.
• Feature Backlog & Sprint Planning: Help translate business and operational needs into relevant backlog items for engineering teams building and refining AI agents.
• Enablement & Adoption: Develop documentation, playbooks, and best-practice guides to foster adoption and seamless integration of agentic workflows across Fan Care service delivery teams.
• Impact Measurement: Establish benchmarks to evaluate output accuracy, token efficiency, and productivity gains across different teams adopting the modular agentic framework.

Preferred Qualifications

• Currently enrolled in a Bachelor’s Degree granting program preferrable in Computer Science, Information Systems, Business Administration, Human-Computer Interaction, Artificial Intelligence, Product Management or a related field with an anticipated graduation date no earlier than December 2027.

• Conceptual knowledge about Agentic AI architecture (e.g., autonomous agents, tool usage, prompt orchestration, memory models, multi-agent frameworks).
• Familiarity with functional planning and delivery processes (Agile methodologies, user personas, business requirement documents, feature prioritization).
• Curiosity about enterprise software development lifecycles (SDLC), customer experience platforms, and modern IT operations.
• Excellent analytical, problem-solving, collaboration, and verbal/written communication skills, with the ability to work effectively across technical and non-technical teams.

Nice-to-Have Skills

• Hands-on experience with LLM frameworks, APIs, or agent builders (e.g., LangChain, AutoGen, CrewAI, OpenAI APIs, Google Gemini Enterprise).
• Experience with markdown-driven agent prompt architectures, contextual memory management, or RAG systems.
• Familiarity with enterprise workflow tools (Jira, Confluence) and API/integration concepts.

What You'll Learn & Experience

• Direct Impact: Work on a tangible project that directly shapes the next iteration of Fan Care's internal AI tooling.
• Mentorship & Leadership Exposure: Collaborate with experienced System Owners, functional leads, and Fan Care leaders.
• End-to-End Solution Lifecycle: Gain practical experience taking AI features from initial problem discovery and requirements definition through to sprint planning and rollout.
• Gaming Industry Insights: Connect with interns and leaders across Electronic Arts through structured networking, skill-building workshops, and executive speaker series.