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.
What this role actually needs.
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: - 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: - 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 Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Manager, AI Deployment Engineering - Health & Life Sciences role.
- 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
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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
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Source: jobs.ashbyhq.com · Source ID: ec911cb2-6b87-4546-9ec7-6c54a34db84d · Confidence: 97/100 · Last checked: May 7, 2026
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