Senior AI Solutions Lead, Software Quality

Electronic Arts

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bucharest, Romania
Posted
100 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $192k
$134k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $160,675–$224,162.

Based on 239 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 28 open roles on FindRole.

Listed pay typically runs $141,400–$204,400 across 13 roles with salary data.

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At a glance

TL;DR · Senior AI Solutions Lead, Software Quality

As the Senior AI Solutions Lead (Software Quality) within the Quality Verification and Standards team, you will serve as a technology leader focused on accelerating the adoption of AI tools and technologies. You will develop a multi-year AI strategy, conduct technical evaluations regarding reliability and legal risk, and prepare cost-benefit reports to inform tooling investments. Your daily work involves gathering use cases, translating them into engineering requirements, creating training documentation, and architecting systems for AI-driven data to identify balance issues, design flaws, and exploits. You will utilize skills in LLM experience, prompt optimization, and data analysis to provide business insights. The role specifically addresses the technical challenge of integrating AI into the quality verification process to optimize software performance and enhance gameplay within the Apex Legends project.

What you'll do

  • Develop a multi-year AI strategy to support product goals and quality verification needs.
  • Identify and evaluate AI solutions based on reliability, accuracy, and legal risk.
  • Create cost-benefit analysis reports to inform investment decisions for new tools.
  • Translate identified use cases into specific engineering requirements for development teams.
  • Develop documentation and training materials for the onboarding of new AI tools.
  • Measure the success of AI investments using usage data and stakeholder feedback.
  • Architect systems for AI-driven data to identify balance issues, design flaws, and exploits.

What we're looking for

  • 5+ years of experience leading technology adoption in multinational organizations.
  • Knowledge of AI prompting and optimizing response quality.
  • Hands-on LLM experience and awareness of ideal use cases.
  • Ability to convert data and results into applicable business insights.
  • Ability to deliver technical concepts to non-technical audiences.

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