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Description & Requirements
Founded in 2010 by the original creators of the Call of Duty franchise, Respawn was created with the philosophy that when accomplished people have creative freedom, they'll make extraordinary games that achieve the unexpected. From our roots as an indie studio to joining the roster of studios at Electronic Arts, this remains our guiding principle. Our shipped titles include critically acclaimed multi-platform games Apex Legends, Titanfall, Titanfall 2, Star Wars™ Jedi: Fallen Order, and Medal of Honor: Above and Beyond. Join us for the opportunity to create groundbreaking games with some of the best developer talent in the industry.
Apex Legends QV is looking for an experienced technology leader to accelerate our adoption of AI tools and tech. Reporting to senior QV leadership, you will help define and implement a multi-year AI strategy supporting our product goals and the needs of the business. You'll participate in evaluations of future technologies, recommending solutions to QA leaders, and partnering with QA and development teams to define requirements, develop onboarding materials, and guide successful implementation.
Responsibilities
Analyze and identify AI solutions aligned with our quality mission.
Conduct and organize tech evaluations, measuring reliability, accuracy, and legal risk.
Prepare cost-benefit and comparison reports to inform tooling investment.
Provide regular reporting on AI/ML efforts, focusing on cost vs reward.
Gather use cases and translate them into engineering requirements.
Create documentation and training for new tools.
Measure AI/technology investment success using usage data and feedback.
Champion AI and automation technologies, promoting return on investment and sharing successes.
Architect systems for AI-driven data, surfacing balance issues, design flaws, and exploits.
Qualifications
5+ years' 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.
Convert data/results into applicable business insights.
Deliver technical concepts to non-technical audiences.