# Forward Deployed Engineer , Healthcare

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Solutions Architecture
**Salary:** $198k – $294k/yr
**Experience:** 6+ years
**Skills:** Python, Ai Applications, Agentic Systems, Electronic Health Records, Claims Systems, Hl7, FHIR, Epic, HIPAA, Phi, APIs, Observability, Ai Evaluation, Security, Authorization
**Posted:** 2026-08-06

> Owns end-to-end deployment of production AI and agentic systems for healthcare organizations, translating complex workflows and regulatory constraints into reliable customer solutions. The role requires 6+ years of relevant technical experience, strong hands-on implementation skills, and familiarity with healthcare workflows, EHRs, and interoperability standards.

## 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 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, 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
- 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 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.
- Experience with provider or health-system workflows such as clinical operations, revenue cycle management, patient access, or contact centers; or with EHR and interoperability technologies.
- Experience shipping complex systems as a forward deployed or customer engineer, healthcare engineer, technical consultant or integrator, solutions architect for regulated enterprises, or technical founder/early engineering leader.
- Strong judgment regarding AI evaluation, privacy, security, governance, and reliability.

## Compensation and Benefits
- Annual salary range: **$198,000–$294,000**.
- Hybrid work model requiring three days in the office per week.
- Relocation assistance is offered.
- Travel up to 50% is required.

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