Electronic Arts

Central Technology is a dynamic community of experts, innovators, and change-makers united by a single, shared vision: To improve interactive entertainment and inspire creativity through transformative technology. Our industry-leading services and solutions are developed collaboratively with teams across EA to enhance creativity and improve outcomes for our partners and players. Our teams develop EA's proprietary game engine, promote the latest research, manage infrastructures, create safety and security, and transform data into inspiration. Together, we keep EA moving so it can do what it does best — build unforgettable experiences for people who love games

The Data & Insights (D&I) team harnesses the power of data to create transformative insights and solutions to EA game teams and players. D&I teams are involved in every aspect of data, driving strategy and governance; build powerful data and AI applications; and develop personalization, experimentation, and analytics tools, and more. When you join D&I, you're joining a team of passionate experts working to promote more profound understanding, better ways of working, and more meaningful experiences for our players.

As a Software engineer - AI/ML, you will report to the Director of AI/ML.

Responsibilities:

• You will design, develop, and deploy AI-powered analytics products applying LLMs, Generative AI, ML Models and modern data infrastructure.
• You will build end-to-end AI solutions, including prompt engineering, fine-tuning, and agentic system design using frameworks such as LangChain and LangGraph.
• You will architect scalable backend services and serverless applications using Python on AWS or GCP.
• You will integrate graph databases, vector databases, and data warehousing technologies to help intelligent data-driven applications.
• You will collaborate with data scientists, engineers, and product teams to translate distributed systems and gaming-related problems into AI-driven Analytical products.

Qualifications:

• 5+ years of experience in software engineering or applied AI development, with at least 2+ years focused on LLM or Generative AI applications
• Experience with Python backend development and cloud-native architectures (AWS Lambda, GCP Cloud Run)
• Hands-on expertise with LLM frameworks such as LangChain, LangGraph, or OpenAI function calling, including prompt design, fine-tuning, and agent orchestration
• Knowledge of ML model development, and deployment pipelines, using frameworks like PyTorch, TensorFlow, or scikit-learn
• Experience with data systems, including SQL and NoSQL databases, data warehousing, vector databases and graph databases (e.g., Neo4j).
• Familiarity with frontend technologies (React, TypeScript) and business intelligence tools for building full-stack analytical applications
• Experience with software engineering best practices, including unit testing, Git-based version control, and CI/CD pipelines

This is a hybrid remote/in-office role.