Healthcare AI Deployment Engineer

OpenAI

United States

Hybrid

USD 140,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Relocation assistance
Hybrid work model
Travel up to 50%

Job summary

OpenAI’s Forward Deployed Engineering team seeks an experienced Forward Deployed Engineer to own end-to-end deployments of AI models within healthcare organizations, including payers, providers, and health systems. You will lead discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex workflows and regulatory constraints into production AI systems.

You’ll measure success by adoption, workflow impact, and defined customer benchmarks, collaborating

Qualifications

  • 6+ years of software engineering, ML/AI engineering, or technical consulting experience.
  • Experience as a senior engineer, tech lead, or deployment owner in complex environments.
  • Hands-on experience from discovery to production deployment and handoff for enterprise systems.
  • Healthcare domain experience including payer/provider/EHR interoperability is a plus.

Responsibilities

  • Own end-to-end deployment solutions for customer environments.
  • Translate payer/provider workflows into technical requirements and measurable outcomes.
  • Design production AI applications and integrate with customer infrastructure and APIs.
  • Build with safeguards for PHI, HIPAA, privacy, security, and governance.
  • Define evaluations, validation evidence, and launch criteria for customer success.
  • Improve system reliability and performance using feedback and observability.
  • Create reusable architectures and patterns for regulated healthcare environments.

Skills

Software engineering
ML/AI engineering
Technical leadership
Deployment experience
Healthcare domain knowledge
HL7/FHIR familiarity

Education

Bachelor's degree in CS or related field

Tools

HIPAA compliance

Job description

OpenAI’s Forward Deployed Engineering team seeks an experienced Forward Deployed Engineer to own end-to-end deployments of AI models within healthcare organizations, including payers, providers, and health systems. You will lead discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex workflows and regulatory constraints into production AI systems.

You’ll measure success by adoption, workflow impact, and defined customer benchmarks, collaborating

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