AI Engineer

GameStop•Grapevine, TX
•Remote

About The Position

GameStop is seeking an Applied AI Engineer who combines hands-on AI engineering with strong business judgment. The role focuses on finding significant business problems, understanding their economics, building AI-based solutions, and demonstrating measurable results. The engineer will work directly with Ryan Cohen and the GameStop team to improve business operations. Remote candidates will be considered, with some time required in Dallas, Texas.

Requirements

  • Strong business judgment, including understanding how companies make money, where resources are wasted, and which problems deserve attention.
  • Focus on measurable business outcomes rather than technology for its own sake.
  • Ability to personally build solutions from initial concept through production deployment.
  • Ability to combine AI models, code, APIs, data, and automation tools to solve business problems.
  • A track record of applying AI to meaningful business challenges, with working systems, real-world adoption, and measurable outcomes.
  • Ability to operate independently, act quickly, overcome obstacles, and take responsibility for results.
  • Ability to explain complex technical solutions in straightforward business terms and demonstrate what was built, why it matters, and how it works.
  • Applications must include a resume or professional profile and one or two examples of significant problems solved using AI, covering the problem, solution, personal contribution, results, and evidence.
  • At least one example must demonstrate a solution deployed and used in an actual business environment.
  • Applicants should be prepared to demonstrate their work and explain technical decisions, tradeoffs, failures, and improvements.

Responsibilities

  • Identify opportunities to increase revenue, reduce costs, improve inventory decisions, save time, and better serve customers.
  • Prioritize problems based on business impact and the effort required to solve them.
  • Build and deploy AI agents, applications, and automated workflows.
  • Connect AI solutions to business systems, databases, documents, and operational processes.
  • Work directly with solution users and continuously improve solutions based on real-world results.
  • Measure accuracy, reliability, operating costs, adoption, and financial impact.
  • Take responsibility for solutions after deployment and remain accountable for their results.
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