Manager, AI Deployment Engineering - Health & Life Sciences

OpenAI•Seattle, WA

1d•Hybrid

About The Position

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. 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.

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
Care deeply about responsible AI and its application in high-stakes domains

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
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