Electronic Arts

We are hiring an AI Engineer to join the Player Intelligence & Growth team within Data and Insights (D&I), reporting to a Sr Manager. This team partners with all of EA's game studios to offer data science & AI products and solutions. For this AI Engineer role we are looking for applied and practical AI/ML expertise with a focus on Gen AI Solutions. You will help scale our internal AI-powered insights tool by partnering with analysts, product teams, marketing, and titles like EA SPORTS FC™, Apex Legends™, The Sims™, and Madden NFL.

We're looking for a hands-on engineer with practical experience building AI/ML-driven systems, evaluating emerging tools, and delivering impactful, reusable solutions across multiple domains.

Responsibilities

• Work directly with game teams/partners (internal clients) to understand their offerings/domain and create AI products and solutions to solve for their use cases.

• Focus on problem-driven approaches, applying pragmatic solutions to game team opportunities and decisions.

• Develop plans to generalize AI products across titles.

• Review AI tools used within the team, providing guidance and being accountable for the success and the adoption of the project/product.

• Communicate AI & data science projects and products to partners.

• Ensure your engineering approach, evaluation methods, and AI experiments produce reliable, meaningful outcomes.

• Implement feature enhancements for our AI-powered analytics tool using GCP services, LLMs, and our internal tech stack.

• Engage with other Data Scientists, Data Analysts sharing best practices and help consult on cross-projects.

• Design, improve and work with our data pipeline that transfers and processes petabytes of data using tools, such as: AWS, S3, Kubernetes, GCP, Python, Apache Kafka, Ruby & Hive.

• Use your computer science & AI knowledge to build pipelines for new capabilities using Gen AI.
  
  

Required Qualifications

• Graduate degree in Computer Science, Engineering, AI/ML, or a related quantitative field encouraged.

• 4+ years of experience building AI, ML, or data-driven systems in production environments.

• Proficiency with Python, SQL, and cloud technologies (preferably GCP).

• Experience working with LLMs, embeddings, retrieval systems, or AI agents.

• Familiarity with CI/CD, microservices, and cloud-native deployment patterns.

• Experience working with cross-functional teams to translate partner needs into scalable technical solutions.

• Experience working with large datasets and modern data engineering tools.

• Interest in games is a big plus.
  
  

This is a hybrid position.