OpenAI
Forward Deployed Engineer (FDE), Healthcare - SF
$185K–$300K
San Francisco · Hybrid · Full-time · Posted Aug 6, 2026
- Experience
- 6+ years in software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience.
About the job
Own end-to-end deployment of production AI systems for healthcare organizations, from discovery and implementation through evaluation, launch, and handoff.
What you'll do
- Lead technical discovery, architecture, implementation, evaluation, production deployment, adoption, and handoff.
- Build AI applications and agentic systems integrated with healthcare infrastructure, while addressing privacy, security, governance, and regulatory requirements.
- Define evaluations and use results, error analysis, observability, and customer feedback to improve system quality and deployment patterns.
What they ask for
- 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience.
- Hands-on ownership of technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems.
- Experience making technical decisions as a senior engineer, tech lead, or deployment owner in ambiguous environments.
Nice to have
- Healthcare experience, such as payer or provider workflows, EHR systems, or interoperability standards.
- Exposure to provider or health-system workflows or technologies including Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges.
Pay
$185K – $300K USD base salary
Tools
Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR
AI focus
Deploy production AI applications and agentic systems in healthcare; evaluate and improve their quality, reliability, performance, and workflow impact.
Model-written summary · the original posting is authoritative