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

Electronic Arts (EA); Austin (TX); Ibrido; USD 18.000 - 24.000; Tempo pieno

Vantaggi offerti da questo lavoro

Healthcare coverage

Retirement savings

Paid time off

Complimentary EA games

Descrizione del lavoro

Electronic Arts is seeking a Data and AI Engineering Intern for a hybrid in-office role based in Austin, TX. You will work within EA's Central Technology Organization on real-world enterprise AI use cases, delivering an end-to-end AI-first prototype using LLMs, RAG, and cloud data platforms.

You will design intelligent agents, collaborate with experienced AI practitioners, and demonstrate how AI-driven workflows create tangible business value.

Competenze

• Currently pursuing a graduate degree in Computer Science, Data Engineering, Data Science, or a related technical field.
• Generative AI exposure through coursework or projects with ability to explain contributions and results.
• Agentic AI foundations: basic knowledge of RAG, embeddings, tool or function calling, structured outputs, or human-in-the-loop systems.
• Data engineering foundations: familiarity with Python, SQL, relational databases, APIs, and ETL/ELT concepts.
• Agile mindset: self-directed learning, problem solving, curiosity, and clear communication.

Mansioni

• Develop AI workflows: build and evaluate LLM or agent workflows using prompts, RAG, APIs, tool calling, and structured outputs.
• Build engineering components: develop Python and SQL parts, tools, and pipelines for data ingestion, transformation, validation, testing, and data quality checks.
• Ensure quality & safety: review AI outputs with mentors, implement safeguards, document decisions, and evaluate agent performance.
• Own a deliverable: define outcomes for a scoped agentic data-engineering use case and deliver a functional prototype.
• Collaborate & learn: participate in team meetings, pair programming, architecture reviews, and network with EA engineering and data teams.

Conoscenze

Generative AI exposure

Agentic AI foundations

Agile mindset

Self-directed learning

Strong problem solving

Formazione

Graduate degree in Computer Science / Data Engineering / Data Science

Strumenti

Python

SQL

APIs

Git

Snowflake

AWS

Azure

GCP

Descrizione del lavoro

Description & Requirements

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.

Description & Requirements

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.

Description & Requirements

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.

Data and AI Engineering Intern

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.

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.

This is a hybrid /in-office role based in Austin, TX. You will report into the Senior Solutions Architect.

Responsibilities

• Develop AI Workflows: Build and evaluate LLM or agent workflows using prompts, RAG (Retrieval-Augmented Generation), APIs, tool calling, and structured outputs.
• Build Engineering Components: Develop reliable Python and SQL components, tools, and pipelines for data ingestion, transformation, validation, testing, and data-quality checks.
• Ensure Quality & Safety: Review AI outputs with mentors, implement safety safeguards/guardrails, document design decisions, and systematically evaluate agent performance.
• Own a Deliverable: 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.
• Collaborate & Learn: Participate in team meetings, pair programming, architecture reviews, and network with the broader EA engineering and data organization.
• Grow Technical Skills: Gain exposure to responsible AI, data security, privacy, cloud data engineering, and agile software development practices.

Qualifications

• Currently pursuing a graduate degree in Computer Science, Data Engineering, Data Science, or a related technical field.
• Generative AI Exposure: Hands-on exposure to LLMs through coursework or projects, with the ability to clearly explain the use case, your individual contribution, approach, and results.
• Agentic AI Foundations: Basic knowledge of RAG, embeddings, tool/function calling, structured outputs, workflow orchestration, guardrails, or human-in-the-loop systems.
• Data Engineering Foundations: Familiarity with Python, SQL, relational databases, APIs, data transformation, and basic pipeline or ETL/ELT concepts.
• Agile Mindset: Evidence of self-directed learning, smart problem-solving skills, curiosity, and clear communication.
• 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.

You must be available for a full-time paid internship in the Summer of 2027

At this time, we are considering 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.

Please ensure that your graduation date is visible on your resume.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.