Jobs/Seattle/Manager, AI Deployment Engineering - Health & Life Sciences
Seattle, Washington, United States

Manager, AI Deployment Engineering - Health & Life Sciences

About the Team The AI Deployment Engineering team works at the intersection of cutting-edge AI research and real-world application. We partner directly with OpenAI’s most strategic customers to design, implement, and scale production deployments of generative AI systems.

Company
OpenAI
Compensation
$251K - $335K
Schedule
Full-Time
Role overview

What this role actually needs.

Manager, AI Deployment Engineering - Health & Life Sciences at OpenAI in Seattle. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team The AI Deployment Engineering team works at the intersection of cutting-edge AI research and real-world application. We partner directly with OpenAI’s most strategic customers to design, implement, and scale production deployments of generative AI systems.

Responsibilities

Day-to-day expectations

A clear list of the work this role is designed to cover.

  • Own the strategy and operating model of the HLS AI Deployment Engineering team, ensuring alignment with company objectives and the evolving needs of our customers.
  • Hire, mentor, and develop a high-impact team of AI Deployment Engineers focused on HLS production deployments
  • Establish operating mechanisms, delivery standards, and best practices tailored to regulated environments
  • Foster a culture of technical excellence, customer empathy, and responsible AI deployment
  • Drive Successful Enterprise Deployments and oversee end-to-end implementation of generative AI applications in production across healthcare and life sciences organizations
  • Guide customers through complex integration efforts spanning R&D, clinical development, regulatory affairs, medical affairs, and IT
Requirements

What a strong candidate brings

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  • Have 8+ years of experience in technical delivery, solutions engineering, or deployment roles, including people management experience
  • Have led enterprise-scale implementations of AI, ML, or platform technologies
  • Bring experience in healthcare or life sciences environments, including familiarity with clinical research, drug development, regulatory operations, or health system infrastructure
  • Understand compliance frameworks such as HIPAA, GxP, and global regulatory considerations
  • Are comfortable engaging with executive stakeholders while maintaining technical depth
  • Enjoy operating in ambiguous, fast-moving environments and building structure where it does not yet exist
Benefits

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