# Forward Deployed Engineer , Healthcare

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** Seattle, WA, New York, NY
**Role:** Solutions Architecture
**Salary:** $198k – $294k/yr
**Experience:** 6+ years
**Skills:** Python, Machine Learning, Artificial Intelligence, AI Agents, Ehr Systems, Epic, Hl7, FHIR, HIPAA, Phi, APIs, Cloud Infrastructure, Data Platforms, Security, Observability
**Posted:** 2026-08-06

> Own end-to-end deployment of production AI and agentic systems for healthcare organizations, translating complex workflows and regulatory constraints into reliable integrations and measurable outcomes. The role requires 6+ years of relevant technical experience, hands-on architecture and implementation skills, and healthcare interoperability expertise.

## Job Description

## 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 ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurable outcomes.
- Design and implement production AI applications and agentic systems integrating with customer infrastructure, enterprise APIs, data platforms, electronic health records, claims systems, and operational tools.
- Build 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 against customer-specific acceptance thresholds.
- 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.

## Requirements and Qualifications
- 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 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 involving 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 technologies, health information exchanges, or related healthcare infrastructure.
- Experience shipping complex systems as a forward deployed or customer engineer, healthcare engineer, technical consultant, integrator, solutions architect, technical founder, or early engineering leader.
- Strong judgment regarding AI evaluation, privacy, security, governance, and reliability.

## Additional Information
- Hybrid work model requiring 3 days in the office per week.
- Travel up to 50% is required.
- Relocation assistance is available.
- Prior FDE titles, clinical credentials, and experience across every healthcare domain are not required.

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