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

OpenAI is hiring an Applied AI Engineer to help Healthcare and Life Sciences customers transform AI ideas into production systems and drive enterprise adoption.

Responsibilities

• Design, build, evaluate, and deploy AI systems from prototype to reliable production with scaled adoption and measurable business impact.
• Collaborate with enterprise customers to identify high-value AI opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and success criteria.
• Make technical decisions across model behavior, agent and tool design, retrieval, context design, data pipelines, evaluation, reliability, observability, latency, cost, safety, security, and governance.
• Diagnose complex deployment issues by reproducing failures, testing hypotheses, and driving blockers to resolution.
• Work with customers’ engineering teams and OpenAI teams (Product, Research, Engineering, Security, and Go-to-Market) to convert deployment experience into actionable product feedback.
• Partner with customer security, privacy, clinical, and business teams to plan responsible AI deployments, including data handling, access controls, evaluation, human oversight, and monitoring.
• Develop reusable architectures, tooling, playbooks, and technical guidance to accelerate future enterprise deployments.

Requirements

• Hands-on experience designing, building, and shipping AI or machine-learning systems in enterprise environments, contributing through coding, architecture, evaluation, debugging, or production engineering.
• Background alignment with applied AI/ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting.
• High proficiency in Python, with comfort working end-to-end across model APIs, agent and tool development, retrieval, data pipelines, evaluation, observability, integrations, and production operations.
• Experience with JavaScript, TypeScript, or another relevant language is valuable.
• Ability to evaluate AI systems using representative data, automated graders, production signals, and human judgment.
• Experience navigating enterprise production requirements, including cost.
• Experience delivering AI or software in healthcare, life sciences, or other regulated enterprise settings, with measurable outcomes beyond proof of concept and familiarity with sensitive data, legacy systems, and interoperability.
• Capability to connect technical choices to customer workflows, adoption, and measurable business outcomes.
• Clear, credible communication with hands-on engineers, technical leaders, security and product teams, and executives.
• End-to-end ownership, strong technical judgment, and effectiveness through ambiguity.
• Healthcare or life sciences experience is strongly preferred; strong candidates from other regulated environments are encouraged.
• Ability to learn quickly, challenge assumptions constructively, and collaborate with humility.

Technologies

• Python
• JavaScript
• TypeScript

Compensation

• USD 251,000 - 278,000 per year
• $251K–$278K + Offers Equity
• Base pay may vary based on individualized factors; eligible employees may receive additional compensation, and OpenAI may adjust pay components based on performance, team/company results, or market conditions.

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 for focus; 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.
• Daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees.
• Additional taxable fringe benefits may include charitable donation matching and wellness stipends.

About the Role

• Serve as a technical partner to Healthcare and Life Sciences (HLS) organizations, turning AI use cases into durable production systems and adoption at scale.
• Provide hands-on technical leadership, including coding, debugging, evaluation system work, and resolving complex integrations.
• Guide decisions related to model behavior, reliability, latency, cost, safety, security, governance, and operational readiness.
• Work across clinical, operational, administrative, and research workflows, translating security, privacy, and governance requirements into practical deployment decisions.
• Success measured by durable production systems, sustained adoption, and meaningful business impact, with deployment experience influencing OpenAI product evolution.

Location and Work Model

• San Francisco, CA (remote).
• Role may also be based in offices in New York City or San Francisco with hybrid work model for office-based employees: three days per week in the office.
• Relocation assistance available for eligible employees.

About OpenAI

• OpenAI is an AI research and deployment company focused on ensuring general-purpose AI benefits humanity.
• They push AI capabilities and work to safely deploy AI through products, with safety and human needs as core priorities.