Data & AI Engineering Intern (Master's Level) - Summer 2027

Electronic Arts•Austin, TX

2d•Hybrid

About The Position

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. EA's Central Technology Organization is a diverse group of engineering and AI disciplines working closely with teams across the company to power the future of interactive entertainment. Our mission is to partner with our global game studios and business units to deliver intelligent player experiences through advanced data platforms, agentic AI, and cutting-edge software engineering. This technical role offers a unique opportunity to work on real-world enterprise AI and agentic data-engineering use cases, going far beyond typical classroom exercises. As a Data and AI Engineering Intern, you will own a meaningful deliverable from concept to completion, building an end-to-end AI-first prototype using LLMs, RAG, and modern cloud data platforms. In this role, you will design intelligent agents, collaborate with experienced AI practitioners, and show how AI-driven workflows can deliver tangible business value to EA.

Requirements

Currently pursuing a graduate degree in Computer Science, Data Engineering, Data Science, or a related technical field.
Hands-on exposure to LLMs through coursework or projects, with the ability to clearly explain the use case, your individual contribution, approach, and results.
Basic knowledge of RAG, embeddings, tool/function calling, structured outputs, workflow orchestration, guardrails, or human-in-the-loop systems.
Familiarity with Python, SQL, relational databases, APIs, data transformation, and basic pipeline or ETL/ELT concepts.
Evidence of self-directed learning, smart problem-solving skills, curiosity, and clear communication.
Must be available for a full-time paid internship in the Summer of 2027.
Undergrad students who will be enrolled in an accredited degree program in the summer of 2027, slated to graduate no earlier than December 2027.
Applicants must be legally authorized to work in the United States on a full-time basis during the 12 week internship.
Visa sponsorship is not available for this position.

Nice To Haves

Prior exposure to cloud data environments (e.g., Snowflake, AWS, Azure, GCP), Git, or Machine Learning (ML) is a bonus but not required.

Responsibilities

Build and evaluate LLM or agent workflows using prompts, RAG (Retrieval-Augmented Generation), APIs, tool calling, and structured outputs.
Develop reliable Python and SQL components, tools, and pipelines for data ingestion, transformation, validation, testing, and data-quality checks.
Review AI outputs with mentors, implement safety safeguards/guardrails, document design decisions, and systematically evaluate agent performance.
Define expected outcomes for a scoped agentic data-engineering use case, deliver a functional prototype, and explain its business value to technical and business stakeholders.
Participate in team meetings, pair programming, architecture reviews, and network with the broader EA engineering and data organization.
Gain exposure to responsible AI, data security, privacy, cloud data engineering, and agile software development practices.