Enterprise AI Engineer, Health & Life Sciences (Remote)

OpenAI, Inc.; United States; Hybrid; USD 180,000 - 300,000; Full time

Benefits offered by this job

Hybrid work model

Relocation assistance

Job summary

OpenAI, Inc. is seeking an Enterprise AIE to partner with leading Healthcare & Life Sciences organizations, turning ambitious AI use cases into durable production systems at scale.

You will lead hands-on engineering, evaluating models, designing architectures, and guiding deployments with a focus on safety, governance, and operational readiness. You will work across clinical, operational, administrative and research workflows, collaborating with security, privacy, and product teams to deliver

Qualifications

• Designed, built, and shipped AI/ML systems in enterprise environments from prototype to production.
• Excellent ability to work end-to-end across model APIs, agent/tool development, data pipelines, and production operations.
• Experience evaluating AI systems using data, automated graders, production signals, and human judgment.

Responsibilities

• Work hands-on to design, build, evaluate, and deploy AI systems from prototype to production and scaled adoption.
• Partner with enterprise customers to translate opportunities into architectures, plans, and success criteria.
• Make sound technical decisions across model selection, agent/tool design, data pipelines, and governance.

Skills

Python

ML engineering

Distributed systems

API design

Security & governance

Tools

Docker

Kubernetes

Cloud platforms

Job description

OpenAI, Inc. is seeking an Enterprise AIE to partner with leading Healthcare & Life Sciences organizations, turning ambitious AI use cases into durable production systems at scale.

You will lead hands-on engineering, evaluating models, designing architectures, and guiding deployments with a focus on safety, governance, and operational readiness. You will work across clinical, operational, administrative and research workflows, collaborating with security, privacy, and product teams to deliver