Forward Deployed Engineer (FDE), Healthcare - SF

Vibehackers; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Relocation assistance

Travel up to 50%

Hybrid work model

Disabilities accommodations

Job summary

OpenAI is seeking a Forward Deployed Engineer (Healthcare) in San Francisco to lead end-to-end deployment of AI models within healthcare organizations, translating clinical workflows into production AI systems with safeguards. The role requires hybrid work (3 days in office) and willingness to travel up to 50%.

You will partner with payer providers and health systems to deliver secure, scalable AI solutions, collaborating across engineering, security, product, and operations teams.

Qualifications

• Senior software/AI engineering experience with healthcare deployments.
• Deep technical discovery, architecture, implementation, evaluation, and handoff ownership.
• Healthcare domain experience including EHR systems and interoperability standards preferred.
• Experience with HIPAA, PHI security, and regulatory compliance required.
• Ability to translate clinical workflows into production AI solutions.

Responsibilities

• Lead technical discovery, scope definition, and translate workflows into requirements.
• Design and implement production AI apps that integrate with customer infrastructure and EHR systems.
• Build safeguards for PHI, HIPAA, privacy, security, and governance.
• Define evaluation criteria and launch plans to meet customer thresholds.
• Use observability and analysis to improve reliability and model selection.
• Collaborate with customer teams and internal partners to deliver solutions.

Skills

System Design

Solution Architecture

Integration

Security & Privacy

Observability

Deployment & Operations

Stakeholder Management

Customer-facing Consulting

Tools

Epic

HL7

FHIR

EHRs

Oracle Health/Cerner

MEDITECH

Job description

Forward Deployed Engineer (FDE), Healthcare - SF

Rapid iteration with AI in production and heavy focus on deploying AI systems into real-world workflows and integrations.

About the Role

OpenAI is hiring a Forward Deployed Engineer (Healthcare) to lead end-to-end deployment of AI models within healthcare organizations, translating clinical and operational workflows into production AI systems with appropriate safeguards. The role is based in San Francisco, uses a hybrid 3-day-in-office model, and requires significant travel (up to 50%).

Job Description

Role

OpenAI’s Forward Deployed Engineering (FDE) team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. The Forward Deployed Engineer (Healthcare) owns end-to-end deployments of models for payers, providers, health systems, and healthcare tech companies, handling technical discovery, architecture, implementation, evaluation, productionization, and handoff.

Key Responsibilities

• Lead technical discovery, scope definition, and translate customer workflows into technical requirements and measurable outcomes.
• Design and implement production AI applications and agentic systems that integrate with customer infrastructure, enterprise APIs, data platforms, EHRs, claims systems, and operational tools.
• Build systems with 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 to measure model and system quality against customer-specific acceptance thresholds.
• Use evaluation results, error analysis, and observability to improve reliability, performance, model selection, and production readiness.
• Distill deployment learnings into reference architectures, 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 to deliver solutions and translate deployment learnings into product improvements.

Requirements

• Typically 6+ years of experience in software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable roles, with technical depth.
• Experience operating as a senior engineer, tech lead, or deployment owner trusted to make 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 domain experience is preferred, including payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR.
• Exposure to provider or health-system workflows (clinical operations, revenue cycle management, patient access, contact centers) or technologies like Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges.
• Strong judgment around AI evaluation, privacy, security, governance, and reliability.

Location & Work Model

• Role is based in San Francisco.
• Hybrid work model: 3 days in the office per week.
• Relocation assistance is offered.
• Travel up to 50% is required.

Notes

• This role focuses on owning the technical solution; ownership of commercial or executive relationships is not required.
• Background checks and reasonable accommodations for applicants with disabilities are noted in company policies.

Epic HL7 FHIR Oracle Health Cerner MEDITECH Electronic Health Records (EHRs) Health Information Exchanges Claims systems APIs

Skills

System Design Solution Architecture Integration API Integration Evaluation & Validation Security & Privacy Regulatory Compliance HIPAA Observability & Monitoring Error Analysis Productionization Technical Leadership Customer-facing Consulting Stakeholder Management Collaboration Deployment & Operations

Experience Level

Senior

Employment Type

FullTime

• Hybrid work (3 days/week in office)
• Relocation assistance
• Travel up to 50%
• Reasonable accommodations for applicants with disabilities