AI Solution Architect - Enterprise Intelligence

Electronic Arts (EA); Austin (TX); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Electronic Arts (EA) is seeking an AI Solutions Architect to join the Enterprise Intelligence team. The role blends hybrid work in Austin with in-office collaboration to design analytics products powered by LLMs and Generative AI.

You will build end-to-end AI systems, craft prompts, fine-tune models, and orchestrate agents using LangChain/LangGraph. Expect backend/serverless work on AWS/GCP and data infrastructure across graph, vector, and warehouse technologies.

Qualifications

• 5+ years in software engineering or applied AI development, with 3+ years in LLM/Generative AI.
• Proficient in Python backend development and cloud-native architectures (AWS Lambda, GCP Cloud Run).
• Hands-on with LangChain, LangGraph, or OpenAI function calling; able to design prompts, fine-tune, and orchestrate agents.
• Knowledge of AWS data and app pipelines (S3, Lambda, Glue, EMR, Redshift, ECS, EKS, SageMaker).
• Experience with SQL/NoSQL, data warehousing, vector/graph databases (Neo4j).
• Frontend familiarity (React, TypeScript) and BI tools for full-stack analytics.

Responsibilities

• Design, develop, and deploy AI-powered analytics products using LLMs and Generative AI.
• Build end-to-end AI solutions with prompt design, fine-tuning, and agent orchestration.
• Architect scalable backend services and serverless apps on AWS or GCP.
• Integrate graph, vector, and data warehousing technologies for intelligent apps.
• Collaborate with data scientists, engineers, and product teams to translate problems into AI analytics.

Skills

LLM/Generative AI

Python backend

Cloud-native

LangChain/LangGraph/OpenAI function-c-

React/TypeScript

CI/CD

Unit testing

Git

Tools

AWS

GCP

S3

Lambda

Glue

Redshift

ECS

EKS

SageMaker

Neo4j

Job description

The AI Solutions Architect will be part of the Enterprise Intelligence (EI) team reporting to the Director of AI/ML. This is a hybrid remote/in-office role.

Responsibilities

• Design, develop, and deploy AI-powered analytics products applying LLMs, Generative AI, ML models and modern data infrastructure.
• Build end-to-end AI solutions, including prompt engineering, fine-tuning, and agentic system design using frameworks such as LangChain and LangGraph.
• Architect scalable backend services and serverless applications using Python on AWS or GCP.
• Integrate graph databases, vector databases, and data warehousing technologies to help intelligent data‑driven applications.
• 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 3+ 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 AWS and cloud technologies, including building, deploying, and maintaining scalable data and application pipelines using services such as S3, Lambda, Glue, EMR, Redshift, ECS, EKS, and SageMaker.
• 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.

Benefits

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.

Equal Opportunity Employer

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.