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. Our work ensures that organizations can safely and effectively integrate AI into critical workflows.

Within this team, the Health & Life Sciences (HLS) segment focuses on enabling pharmaceutical manufacturers, biotechnology companies, medical device organizations, contract research organizations (CROs), and health systems to adopt AI responsibly in regulated environments. We work across clinical, scientific, regulatory, and operational functions to unlock meaningful impact while maintaining the highest standards of safety, privacy, and compliance.

About the Role

We are seeking a Manager, AI Deployment Engineering to lead our Healthcare & Life Sciences deployment efforts. In this role, you will build and mentor a high-performing team of deployment engineers dedicated to helping HLS organizations move from experimentation to production with OpenAI technologies.

You will operate at both strategic and technical levels — partnering with executive stakeholders, technical leaders, and cross-functional internal teams to deliver secure, compliant, and high-impact AI deployments. This role requires a strong technical foundation, people leadership experience, and a deep appreciation for the complexity of regulated healthcare and life sciences environments.

This role is based in San Francisco or Seattle. We use a hybrid work model of 3 days in the office per week.

In this role, you will:

• 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

• Develop scalable frameworks for secure, compliant AI adoption in environments governed by HIPAA, GxP, FDA, EMA, and related regulatory standards

• Ensure measurable impact through activation, adoption, and workflow transformation (e.g., drug discovery acceleration, clinical documentation support, regulatory submission drafting)

• Collaborate closely with Sales, Account Directors, Solutions Architects, Product, Security, and Legal teams

• Serve as a trusted technical advisor to executive and senior technical stakeholders at enterprise HLS customers

• Provide structured product feedback informed by real-world deployment challenges and industry requirements

You’ll thrive in this role if you:

• 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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