Forward Deployed Engineer , Healthcare
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.
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 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.
Skills
Python, Machine Learning, Artificial Intelligence, AI Agents, Ehr Systems, Epic, Hl7, FHIR, HIPAA, Phi, APIs, Cloud Infrastructure, Data Platforms, Security, Observability
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