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OpenAI

Forward Deployed Engineer, Healthcare

OpenAI

Forward Deployed Engineer deploying OpenAI production AI systems for healthcare organizations. Owning architecture, implementation, evaluation, and regulated production launches in NYC.

Posted 8/6/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $198,000 - $294,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing AI applications within healthcare environments, focusing on interoperability, security, and compliance with regulations such as HIPAA. Proven ability to translate complex healthcare workflows into technical solutions while ensuring production readiness and operational efficiency.

Highest-signal resume keywords
AI Application DevelopmentHealthcare Workflow IntegrationEHR Systems ExperienceTechnical Solution OwnershipInteroperability Standards Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringML/AI EngineeringSolutions EngineeringTechnical ConsultingArchitecture DesignImplementationEvaluationProduction DeploymentError AnalysisModel Selection
Soft Skills
Strong JudgmentCollaborationProblem-Solving
Tools & Technologies
EpicOracle Health/CernerMEDITECHHL7FHIREnterprise APIsData PlatformsClaims SystemsOperational Tools
Industry Keywords
PHIHIPAAPrivacySecurityGovernanceAuditabilityClinical OperationsRevenue Cycle ManagementPatient AccessHealth Information Exchanges

Tech Stack

Tools & technologies
Oracle

About the role

Key responsibilities & impact
  • Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff.
  • Partner with customer engineers, operators, and domain experts to frame ambiguous problems and translate healthcare workflows into technical requirements and measurable outcomes.
  • Design and implement production AI applications and agentic systems integrating with customer infrastructure, enterprise APIs, data platforms, EHRs, claims systems, and operational tools.
  • Build safeguards for PHI, HIPAA, privacy, security, authorization, governance, auditability, and other regulated-delivery requirements.
  • Define and operationalize evaluations, validation evidence, human-review workflows, escalation paths, and launch criteria.
  • Use evaluation results, error analysis, observability, and customer feedback to improve reliability, performance, model selection, workflow impact, and production readiness.
  • Distill deployment learnings into reference architectures, interoperability and integration patterns, evaluation harnesses, security controls, and reusable technical primitives.
  • Collaborate with customer technical and operational teams and internal Business, Research, Product, Engineering, and Security partners.
  • Translate deployment learnings into product improvements.

Requirements

What you’ll need
  • 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience
  • Experience operating as a senior engineer, tech lead, or deployment owner making technical decisions in ambiguous environments
  • Hands-on ownership of technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems
  • Healthcare experience with payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR
  • Exposure to clinical operations, revenue cycle management, patient access, contact centers, EHR, and interoperability technologies
  • Experience with Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges
  • Experience shipping complex systems as a forward deployed/customer engineer, healthcare engineer, EHR/interoperability/revenue-cycle/payer-tech engineer, technical consultant/integrator, regulated-enterprise solutions architect, or technical founder/early engineering leader
  • Strong judgment in AI evaluation, privacy, security, governance, and reliability
  • Ability to work from the NYC office three days per week
  • Willingness to travel up to 50%
  • Clinical credentials and prior FDE titles are not required

Benefits

Comp & perks
  • Equity
  • Performance-related bonus(es) for eligible employees
  • Medical, dental, and vision insurance for you and your family
  • Employer contributions to Health Savings Accounts
  • Pre-tax Health FSA, Dependent Care FSA, and commuter expense accounts
  • 401(k) retirement plan with employer match
  • Paid parental leave
  • Paid medical and caregiver leave
  • Flexible PTO for exempt employees
  • Up to 15 paid days annually for non-exempt employees
  • 13+ paid company holidays
  • Paid coordinated company office closures
  • Paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in offices
  • Meal delivery credits as eligible
  • Relocation support for eligible employees
  • Charitable donation matching and wellness stipends may be provided
  • Hybrid work model