Manager, AI Deployment Engineering - Health & Life Sciences · OpenAI

Fri, 24 Apr 2026 12:19:36 GMT
Engineering

OpenAI · Seattle · $251K – $335K · hybrid

Compensation

Zone A$251K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

401(k) retirement plan with employer match

Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

Mental health and wellness support

Employer-paid basic life and disability coverage

Annual learning and development stipend to fuel your professional growth

Daily meals in our offices, and meal delivery credits as eligible

Relocation support for eligible employees

Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

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.

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

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

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to sensitive and confidential information, including but not limited to, customer data, financial information, and proprietary technology.