Forward Deployed Engineer (FDE), Healthcare - NYC
Remote • New York City • FullTime
Posted 1mo ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
OpenAI is seeking a Forward Deployed Engineer (FDE) to lead end-to-end deployments of AI models within healthcare organizations. This role involves technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption and measurable workflow impact, collaborating directly with customer technical teams and internal partners to deliver solutions and drive product improvements. This position focuses on the technical solution ownership within healthcare settings.
Responsibilities
- 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 problems, define scope, and translate 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 with appropriate safeguards for protected health information (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 to measure model and system quality.
- Use evaluation results, error analysis, observability, and customer feedback to improve system 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 for healthcare and other regulated enterprise environments.
Requirements
- 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience.
- Experience as a senior engineer, tech lead, or deployment owner trusted to make technical decisions in ambiguous environments.
- Deeply hands-on experience owning 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; or to EHR and interoperability technologies such as Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges.
- Experience shipping complex systems as a forward deployed or customer engineer, an engineer within a payer/provider/health system, a builder at an EHR/interoperability/revenue cycle/payer-tech/healthcare infrastructure company, a hands-on technical consultant or integrator, a solutions architect for regulated enterprises, or a technical founder/early engineering leader.
- Strong judgment applied to AI evaluation, privacy, security, governance, and reliability.
Benefits
- Relocation assistance