Overview
Forward Deployed Engineer (FDE) for healthcare, owning end-to-end deployments of production AI systems within healthcare organizations.
What you'll do
- Own end-to-end deployments from discovery and workflow scoping through architecture, implementation, evaluation, production deployment, adoption, and handoff.
- Translate payer, provider, and health-system workflows into technical requirements and measurable outcomes.
- Design and implement production AI applications and agentic systems integrating with customer infrastructure and enterprise systems.
- Implement safeguards for protected health information (PHI) and regulated-delivery requirements including HIPAA, privacy, security, authorization, governance, and auditability.
- Define and operationalize evaluations, validation evidence, human-review workflows, escalation paths, and launch criteria against customer acceptance thresholds.
- Improve reliability, performance, model selection, workflow impact, and production readiness using evaluation results, error analysis, observability, and feedback.
- Distill deployment learnings into reference architectures, integration patterns, evaluation harnesses, security controls, and reusable primitives.
What you'll need
- 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 who makes technical decisions in ambiguous environments.
- Hands-on experience owning technical discovery, architecture, implementation, evaluation, productionization, and handoff.
- Healthcare experience including payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR.
- Exposure to provider/health-system workflows such as clinical operations, revenue cycle management, patient access, or contact centers.
- Strong judgment in AI evaluation, privacy, security, governance, and reliability.
Details
- Position based in San Francisco.
- Hybrid work model: 3 days in the office per week.
- Travel up to 50% is required.
Read the full description and apply on the company’s own careers page.
