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

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OpenAI's Applied AI Engineering team partners with enterprise customers to turn frontier AI into safe, reliable production systems. As an Enterprise Applied AI Engineer for the Healthcare and Life Sciences segment, you will act as a hands-on technical partner, building and debugging AI systems, designing evaluations, and guiding architecture decisions across model behavior, reliability, latency, cost, safety, and governance. You will translate complex regulated-environment requirements into practical deployment decisions and feed deployment learnings back into OpenAI's products.

• Design, build, evaluate, and deploy AI systems from prototype to production for enterprise customers
• Translate customer opportunities into technical architectures, implementation plans, and evaluation strategies
• Make decisions across model selection, agent and tool design, retrieval, context design, data pipelines, evaluation, observability, latency, cost, safety, and security
• Diagnose complex implementation challenges, reproduce failures, and drive blockers to resolution
• Partner with customer engineering, security, privacy, and business teams on responsible AI deployments
• Create reusable architectures, tooling, and playbooks to accelerate future deployments
• Provide product feedback to OpenAI's Product, Research, and Engineering teams

• Experience designing, building, and shipping AI or ML systems in enterprise environments from prototype to production
• High proficiency in Python across model APIs, agents, retrieval, data pipelines, evaluation, and production operations
• Ability to evaluate AI systems systematically using representative data, automated graders, and human judgment
• Experience with enterprise production requirements: integrations, reliability, observability, security, privacy, and governance
• Experience delivering AI or software in healthcare, life sciences, or similarly complex regulated enterprises
• Strong communication with engineers, technical leaders, and executives
• End-to-end ownership and comfort with ambiguity

• Experience with JavaScript or TypeScript
• Familiarity with sensitive data, legacy systems, and interoperability standards in healthcare
• Prior OpenAI product experience