AI Enablement Engineer - EA Experiences

Electronic Arts

Hybrid

Quick summary

Work type
Hybrid
Location
Redwood City, CAGalway, Ireland
Posted
16 days ago
Nearby
2 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $207k
$158k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $167,100–$246,150.

Based on 240 similar postings.

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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 127 open roles on FindRole.

Listed pay typically runs $122,300–$170,700 across 76 roles with salary data.

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At a glance

TL;DR · AI Enablement Engineer - EA Experiences

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As an AI Enablement Engineer at EA Experiences in Galway, Ireland, you will join a dynamic team focused on integrating advanced AI technologies into content creation and business processes. Your role involves designing and deploying innovative AI solutions that leverage agents, multi-agent workflows, knowledge bases, and large language models to enhance creative and marketing efforts. You’ll work closely with cross-functional teams to develop scalable AI pipelines, ensure robust data architectures, and implement governance frameworks for ethical use of AI. Key responsibilities include prototyping new AI tools, integrating them into existing systems, and evangelizing best practices across the organization. The ideal candidate has extensive experience in Python development, cloud services, and a deep understanding of AI engineering methodologies, with a proven track record of delivering measurable business impact through AI solutions.

Skills

Python AWS Azure GCP Kubernetes Terraform CI/CD Prometheus Grafana Docker C# JavaScript HTML CSS LLM Vision models Diffusion models RAG Vector databases MCP Prompt engineering Agentic architectures AI guardrails Security best practices

What you'll do

  • Architect end-to-end AI solutions for content creation and business processes.
  • Build scalable AI pipelines and tools for creative teams at scale.
  • Define and implement data lakes, vector stores, and knowledge bases for intelligent systems.
  • Productionize AI prototypes by integrating them with existing platforms and services.
  • Embed guardrails to ensure IP, privacy, security, safety, and bias are addressed.
  • Standardize reusable architectures and tooling to accelerate AI adoption across teams.

What we're looking for

  • 8+ years of experience in architecting and deploying robust production solutions with software engineering, infrastructure, and security best practices.
  • Strong Python development skills; proficiency in C#, JavaScript, HTML, and CSS is beneficial.
  • Hands-on experience with agentic AI software engineering solutions to accelerate development and experimentation.
  • 3+ years implementing AI solutions that drive measurable business impact.
  • Expertise in prompt and context engineering, AI agents, RAG, embeddings, vector databases, evaluation, benchmarking, and guardrails.
  • Deep understanding of cloud services (AWS, Azure, GCP) and enterprise architecture principles.

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