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OpenAIOpenAI

Forward Deployed Engineer , Healthcare

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.

About the job

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.

Skills

Python, Ai Applications, Agentic Systems, Electronic Health Records, Claims Systems, Hl7, FHIR, Epic, HIPAA, Phi, APIs, Observability, Ai Evaluation, Security, Authorization

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