AI Enablement Architect Lead

Electronic Arts

Hybrid

Quick summary

Work type
Hybrid
Location
Redwood City, CAGalway, Ireland
Posted
16 days ago

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Salary context

How this pay compares to similar roles

Similar $210k
$162k most similar roles pay here $267k

This listing doesn't post a salary. Most similar roles pay $173,387–$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 Architect Lead

The AI Enablement Architect Lead role at EA Experiences in Galway, Ireland involves leading the innovation and implementation of advanced AI solutions to enhance player engagement and business efficiency. Reporting to the Head of AI Enablement, this senior-level position requires hands-on creation and deployment of scalable AI workflows that integrate with existing platforms and services. Key responsibilities include rapid prototyping, designing GenAI-native solutions, driving content creation through AI pipelines, and evangelizing best practices across cross-functional teams. The ideal candidate has over 8 years of experience in architecting robust production systems, proficiency in Python and other relevant languages, and hands-on experience with agentic AI software engineering tools. Deep knowledge of cloud services like AWS, Azure, and GCP is beneficial, along with expertise in prompt engineering, model tuning, and data pipeline architecture to support EA’s expansive portfolio of world-renowned brands.

What you'll do

  • Understand and apply future AI technologies to enhance EA's business processes.
  • Prototype and deploy innovative AI solutions to increase player engagement and efficiency.
  • Design scalable AI-native workflows for content creation, data analytics, and core processes.
  • Integrate AI systems with existing platforms, ensuring observability and performance standards.
  • Create reusable reference architectures and toolkits to accelerate AI adoption across teams.
  • Collaborate with cross-functional teams to identify high-value AI opportunities and ensure alignment.
  • Lead continuous improvement cycles for AI models and workflows based on data analysis.

What we're looking for

  • 8+ years of experience in architecting and deploying production solutions with best practices.
  • Strong Python development skills; familiarity with C#, JavaScript, HTML, CSS beneficial.
  • Hands-on experience with agentic AI software engineering solutions for accelerated development.
  • 3+ years implementing AI solutions that drive measurable business impact.
  • Expertise in prompt engineering, AI agents, RAG, embeddings, and vector databases.
  • Deep understanding of cloud services (AWS, Azure, GCP) and enterprise architecture principles.
  • Experience tuning language models, labeling data, and architecting data pipelines.

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