Forward Deployed Engineer (FDE), Healthcare - Seattle

OpenAI
Paris, Seattle
Workplace: HybridFull timeUSD 198,000 - 294,000 annuallyFunction: Healthcare (Clinical, Medical, Wellness)Experience: 6+ yearsSkills: ["Technical judgment","Collaboration","Problem-solving","Stakeholder management","Reliability focus"]

Own end-to-end deployment of AI models within healthcare organizations, from technical discovery and workflow scoping through architecture, hands-on implementation, evaluation, productionization, and handoff. Partner with customer engineers and domain experts to translate payer/provider workflows, data, infrastructure, and regulatory constraints into production AI systems with measurable adoption and impact. Establish evaluation and launch readiness criteria, improve reliability using observability and feedback, and codify learnings into reusable patterns.

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FursaFursa
OpenAI
OpenAI
20 hours ago

Forward Deployed Engineer (FDE), Healthcare - Seattle

āœ“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Own end-to-end deployment of AI models within healthcare organizations, from technical discovery and workflow scoping through architecture, hands-on implementation, evaluation, productionization, and handoff. Partner with customer engineers and domain experts to translate payer/provider workflows, data, infrastructure, and regulatory constraints into production AI systems with measurable adoption and impact. Establish evaluation and launch readiness criteria, improve reliability using observability and feedback, and codify learnings into reusable patterns.
Location: Paris, Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Healthcare (Clinical, Medical, Wellness)
Seniority: Mid level

Key Responsibilities

  • ā€¢Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff.
  • ā€¢Collaborate with customer engineers, operators, and domain experts to frame ambiguous problems and translate payer/provider workflows into technical requirements and measurable outcomes.
  • ā€¢Design and implement production AI applications and agentic systems integrating with customer infrastructure, enterprise APIs, data platforms, EHRs, claims systems, and operational tools.
  • ā€¢Build safeguarded systems for protected health information (PHI) and meet HIPAA, privacy, security, authorization, governance, and auditability requirements.
  • ā€¢Define and operationalize evaluations and validation evidence, human-review workflows, escalation paths, and launch criteria; use evaluation results and observability to improve reliability and performance.
Travel: High travel

Pay and Benefits

Salary: USD 198,000 - 294,000 annually
Equity and Bonus:Equity
Perks:Relocation

Key Requirements

  • ā€¢6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience with strong technical depth.
  • ā€¢Operate as a senior engineer/tech lead/deployment owner trusted to make technical decisions in ambiguous environments.
  • ā€¢Hands-on ownership of technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems.
  • ā€¢Healthcare experience with payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR.
  • ā€¢Strong judgment across AI evaluation, privacy, security, governance, and reliability.
Experience:6+ yearsHealthcareML/AI engineeringSaaSEnterprise systems
Skills:Technical judgmentCollaborationProblem-solvingStakeholder managementReliability focus
Tech Stack:EpicHL7FHIROracle Health/CernerMEDITECHElectronic health records (EHR)APIsData platforms

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor