Applied AI Engineer, Enterprise - Healthcare Life Sciences (HLS)

Technical Success - San Francisco, New York City, and US - Remote

About the Team

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Across industriesation teams to navigate complex architectures, data environments, governance requirements, and organization-wide change. We turn lessons from these deployments into better OpenAI products and reusable patterns that help customers move faster.

About the Role

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As an Enterprise AIE, you will serve as a technical partner to leading organizations within the Healthcare and Life Sciences segment (HLS), helping them turn ambitious AI use cases into durable production systems and adoption at scale. You will combine deep technical judgment with hands-on engineering to provide technical leadership on complex customer deployments.

You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions about model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. You will work across clinical, operational, administrative and research workflows, translating security, privacy and governance requirements into practical deployment decisions.

Success is measured by durable production systems, sustained adoption, and meaningful business impact. Your deployment experience will also directly influence how OpenAI’s products evolve.

This role may be based in one of our offices in New York City or San Franciscoed remotely. Office-based employees follow a hybrid work model with three days per week in the office. We offer relocation assistance to new employees.

In This Role, You Will

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• Work hands-on in code to design, build, evaluate, and deploy AI systems from prototype to reliable production and scaled adoption that solve important customer problems and deliver measurable business outcomes.
• Partner with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and success criteria.
• Make sound technical decisions across model selection, agent and tool design, retrieval, context design, data pipelines, evaluation, reliability, observability, latency, cost, safety, security, and governance.
• Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers to resolution.
• Partner closely with customers’ engineering teams and OpenAI’s Product, Research, Engineering, Security, and Go-to-Market teams to turn deployment experience into actionable product feedback.
• Partner with customer security, privacy, clinical and business teams to design responsible AI deployments, including data handling, access controls, evaluation, human oversight and monitoring.
• Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.

You Might Thrive in This Role If You

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• Have personally designed, built, and shipped AI or machine-learning systems in enterprise environments, taking them from prototype to production and making substantial contributions through coding, architecture, evaluation, debugging, or production engineering. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting.
• Are highly proficient in Python and comfortable working end to end across model APIs, agent and tool development, retrieval and data pipelines, evaluation, observability, integrations, and production operations. Experience with JavaScript, TypeScript, or another relevant language is valuable.
• Know how to evaluate AI systems systematically using representative data, automated graders, production signals, and human judgment.
• Have navigated enterprise production requirementsance, and cost.
• Have experience delivering AI or software in healthcare, life sciences or similarly complex regulated enterprises, with measurable outcomes beyond a proof of concept and familiarity with sensitive data, legacy systems and interoperability.
• Can connect technical decisions to customer workflows, adoption, and measurable business outcomes.
• Communicate clearly and credibly with hands-on engineers, technical leaders, security and product teams, and executives.
• Take end-to-end ownership, exercise strong technical judgment, and move effectively through ambiguity.
• Healthcare or life sciences experience is strongly preferred; strong candidates from other regulated enterprise environments are also encouraged to apply.
• Learn quickly, challenge assumptions constructively, and collaborate with humility. Prior OpenAI product experience is not required.

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 the full spectrum of humanity.

We are an equal opportunity employeration, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation

$251K – $278K + Offers Equity

The base pay offered may vary depending on multiple individualized factorsance-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.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.