Forward Deployed Engineer (FDE), Healthcare - Seattle
OpenAI · Seattle
CHECKED 1H AGO
Frontier labonsitesenior$185k–$300k
At a glance
Highlights
- Deploy production AI systems across clinical, operational and member workflows.
- Own deployments end to end from discovery and architecture to launch and handoff.
- Build evaluation loops and launch criteria that prove real workflow impact.
What they offer
- Relocation assistance
Ideal candidate
Hands-on deployment owner with 6+ years building complex enterprise systems who thrives in ambiguity. You care about shipping safe, measurable AI that improves healthcare operations and translating field learnings into reusable patterns.
Requirements
- 6+ years in software engineering, ML/AI engineering, solutions engineering, technical consulting or comparable experience
- Operated as a senior engineer, tech lead, or deployment owner trusted to make technical decisions in ambiguous environments
- Personally owned technical discovery, architecture, implementation, evaluation, productionization and handoff for complex customer-facing or enterprise systems
- Healthcare experience including payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7 and FHIR
- Exposure to provider or health-system workflows such as clinical operations, revenue cycle management, patient access, or contact centers
- Exposure to EHR and interoperability technologies such as Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR or health information exchanges
- Strong judgment for AI evaluation, privacy, security, governance and reliability
- remote policy
- Hybrid - 3 days in office per week
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets