AI Enablement Intern (Summer 2027)

About the Role

Electronic Arts (EA) is seeking an AI Enablement Intern to join the System Owners team within Fan Care for Summer 2027. This role focuses on scaling and evolving the Agentic AI Framework, a system designed to accelerate software delivery, operational workflows, and cross-platform integrations. The System Owners team shapes platform strategy, driving intake, research, functional requirements, and workflow prioritization.

Internship Project & Responsibilities

• Agentic Framework Solution Enhancement: Define functional requirements (BRDs, user stories, workflow maps) and operating models for a plug-and-play agentic framework. Structure standardized skill layers (e.g., modular skills.md configurations) to allow teams to customize agent intake, business logic, and persona instructions without altering core code.
• Intake & Discovery: Conduct qualitative research and workflow analysis with partners (Architecture, Engineering, QA, Fan Care Operations, and Support) to uncover pain points and high-value automation opportunities.
• Feature Backlog & Sprint Planning: Assist in translating 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 teams adopting the modular agentic framework.

Qualifications

• Currently enrolled in a Bachelor’s Degree granting program, preferably 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 of 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 on Fan Care's internal AI tooling.
• Collaboration with experienced System Owners, functional leads, and Fan Care leaders.
• End-to-end solution lifecycle experience, from discovery to rollout.
• Insights into the gaming industry through structured networking, workshops, and speaker series.