AI Enablement Architect Lead

Electronic Arts

Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX · Kirkland, WA · Vancouver, British Columbia, Canada
Salary
$141,400–$204,400 / yr
Posted
2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $216k
This role $173k
$127k most similar roles pay here $277k

This role pays less than 76% of similar roles. Most pay $184,900–$246,150 — the shaded band above. At the midpoint, this role pays about $173k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Electronic Arts

Electronic Arts is a global leader in digital interactive entertainment, developing and publishing games for consoles, mobile, and PC under franchises including FIFA, Madden NFL, The Sims, Apex Legends, and Battlefield.

Electronic Arts currently has 75 open roles on FindRole.

Listed pay typically runs $122,300–$184,000 across 41 roles with salary data.

Most-posted roles

View all roles at Electronic Arts

At a glance

TL;DR · AI Enablement Architect Lead

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The AI Enablement Architect Lead role at EA Experiences is a senior-level position within the XO AI Labs team, focusing on driving innovation and efficiency through cutting-edge AI solutions. This hands-on leadership role involves collaborating with cross-functional teams to understand their challenges and opportunities, then developing and deploying robust production AI solutions that enhance fan experiences and business processes. Key responsibilities include staying abreast of AI technology advancements, evangelizing the use of AI within EA, and ensuring legal, ethical, and security standards are met. The ideal candidate has extensive experience in Python development, AWS services, and agentic AI software engineering solutions like Kiro, Cursor, and Claude Code. They should also possess a deep understanding of prompt and context engineering, model tuning, and integration with AAA Console/PC games.

Skills

Python AWS Kubernetes Terraform CI/CD Prompt and context engineering AI agents Agentic architectures Tool calling Model Context Protocol MCP RAG Vector databases Model tuning Evaluation Benchmarking Guardrails Content creation Data analytics C# JavaScript HTML CSS

What you'll do

  • Lead the creation and deployment of innovative AI solutions to enhance efficiency and transform business processes.
  • Stay updated on AI technology advancements to identify opportunities for growth and transformation within EA Experiences.
  • Collaborate with cross-functional teams to understand their challenges and develop tailored AI solutions.
  • Act as an AI evangelist, promoting its use as a tool for driving growth and improving fan experiences.
  • Drive organizational change through the innovative application of AI in business processes and solutions.
  • Engineer robust production AI solutions using best practices in software engineering, infrastructure, and security.

What we're looking for

  • 8+ years of experience in architecting and deploying robust production AI solutions.
  • Proficient in Python development with additional skills in C#, JavaScript, HTML, CSS beneficial.
  • Extensive experience with agentic AI software engineering solutions like Kiro, Cursor, Claude Code.
  • Deep expertise in prompt and context engineering, AI agents, embeddings, vector databases, and model tuning.
  • Comprehensive understanding of AWS services including enterprise architecture, microservices design, and CI/CD practices.
  • Experience navigating legal, ethical, and security implications for AI technologies.

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