Hybrid Data & AI Engineering Intern - LLMs & Workflows

Electronic Arts; Austin (TX); Hybrid; USD 34,000 - 44,000; Full time

Job summary

Electronic Arts in Austin, TX is seeking a Data and AI Engineering Intern to work hybrid in the CT - Data & Insights studio. You will own end-to-end AI-first prototype using LLMs, RAG, and cloud data platforms, collaborating with experienced AI practitioners.

This paid internship requires currently pursuing a graduate degree in CS/Data Science, hands-on Generative AI exposure, and strong Python/SQL basics. You will build AI workflows, data pipelines, and contribute to real-world enterprise AI

Qualifications

• Pursuing a graduate degree in CS/Data Engineering/Data Science.
• Hands-on Generative AI exposure via coursework or projects.
• Knowledge of RAG, embeddings, tool calling, and orchestration.
• Familiar with Python, SQL, APIs, ETL concepts.
• Cloud data environments experience is a bonus.

Responsibilities

• Develop AI workflows using LLMs, RAG, APIs and tool calls.
• Build Python and SQL components, data pipelines and QA.
• Ensure safety, document decisions, evaluate agent performance.
• Deliver a functional prototype and show business value.
• Collaborate in team meetings and learn from others.
• Grow skills in responsible AI, data security, cloud data engineering, agile practices.

Skills

Generative AI

Agentic AI

Data Engineering

Agile Mindset

Education

Graduate degree in CS/Data Science

Tools

Python

SQL

APIs

Job description

Electronic Arts in Austin, TX is seeking a Data and AI Engineering Intern to work hybrid in the CT - Data & Insights studio. You will own end-to-end AI-first prototype using LLMs, RAG, and cloud data platforms, collaborating with experienced AI practitioners.

This paid internship requires currently pursuing a graduate degree in CS/Data Science, hands-on Generative AI exposure, and strong Python/SQL basics. You will build AI workflows, data pipelines, and contribute to real-world enterprise AI