Enterprise AI Engineer: Healthcare Deployment Leader

OpenAI, Inc.; New York (NY); Hybrid; USD 180,000 - 270,000; Full time

Benefits offered by this job

Hybrid work model

Relocation assistance

Office in NYC or SF

Job summary

OpenAI, Inc. is seeking an Enterprise AIE to partner with leading organizations in Healthcare and Life Sciences, turning ambitious AI use cases into durable production systems and scalable adoption.

You will write and debug code, build evaluation systems, and guide decisions on model behavior, reliability, latency, cost, safety and governance. You will collaborate across clinical and business workflows, translating security and privacy requirements into practical deployment decisions.

Qualifications

• Proven hands-on experience in building and deploying AI systems at scale.
• Strong Python proficiency and ability to ship production-grade code.
• Experience influencing product decisions with technical leadership in enterprise settings.

Responsibilities

• Design, build, evaluate, and deploy AI systems from prototype to production at scale.
• Collaborate with enterprise customers to define architectures and success criteria.
• Decide on model selection, retrieval, data pipelines, and governance considerations.
• Diagnose complex deployment issues, reproduce failures, and drive resolution.
• Work with engineering, security, product, and Go-to-Market teams to translate deployments into product feedback.
• Ensure responsible AI deployments with data handling, access controls, and monitoring.
• Create reusable architectures, tooling, and playbooks for future deployments.

Skills

Python

ML engineering

Enterprise deployments

Security & governance

Job description

OpenAI, Inc. is seeking an Enterprise AIE to partner with leading organizations in Healthcare and Life Sciences, turning ambitious AI use cases into durable production systems and scalable adoption.

You will write and debug code, build evaluation systems, and guide decisions on model behavior, reliability, latency, cost, safety and governance. You will collaborate across clinical and business workflows, translating security and privacy requirements into practical deployment decisions.