Forward Deployed Engineer (FDE), Healthcare

About the role

You will own the technical solution end to end for complex healthcare customers, translating ambiguous operational workflows and regulatory constraints into production AI systems that are reliable, measurable, and adopted. You will act as the primary technical owner on engagements with payers, providers, health systems, and healthcare technology companies, driving discovery, architecture, implementation, and handoff. You will partner directly with customer and internal stakeholders to define scope, evaluate model performance, and establish acceptance criteria that determine launch readiness. This role requires you to build robust integrations with electronic health records, claims systems, and enterprise APIs while ensuring HIPAA-grade safeguards for protected health information. You will measure success through production adoption, workflow impact, and continuous evaluation loops that validate customer-specific benchmarks. Ownership of the commercial relationship is not part of this role, allowing you to focus exclusively on the technical execution and delivery of solutions. You will distill deployment learnings into reusable architectures and primitives that accelerate future healthcare and regulated enterprise deployments.

Key facts

What you'll do

• 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 credibly 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 that integrate with customer infrastructure, enterprise APIs, data platforms, electronic health records, claims systems, and operational tools.
• Build with appropriate 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 that measure model and system quality against customer-specific acceptance thresholds.
• Use evaluation results, error analysis, observability, and customer feedback to improve system 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 for healthcare and other regulated enterprise environments.
• Conduct hands-on prototyping and iterative testing to validate workflow assumptions, data contracts, and integration patterns before production rollout.
• Collaborate with internal research and product teams to translate deployment feedback into roadmap priorities and product enhancements for regulated domains.
• Lead the creation of documentation, runbooks, and operational playbooks that enable customer teams to maintain and extend deployed solutions.
• Coordinate cross-functional reviews with security, compliance, legal, and operations to ensure alignment with enterprise standards and regulatory expectations.
• Drive the design of observability, monitoring, and alerting strategies specific to healthcare workloads and high-stakes decision support.
• Establish evaluation frameworks that incorporate clinical and operational metrics, enabling data-driven decisions about model deployment and workflow changes.
• Act as a technical escalation partner for production incidents, guiding remediation and contributing to postmortem analysis.

Requirements

• Bring 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience, with the technical depth to design and implement complex systems.
• Have operated as a senior engineer, tech lead, or deployment owner who is trusted to make technical decisions in ambiguous environments.
• Are deeply hands-on and have personally owned technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems.
• Have healthcare experience including payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR.
• Have exposure to provider or health-system workflows such as clinical operations, revenue cycle management, patient access, or contact centers; or to EHR and interoperability technologies such as Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges.
• Have shipped complex systems as a forward deployed or customer engineer, an engineer inside a payer, provider, or health system, a builder at an EHR, interoperability, revenue cycle, payer-tech, or healthcare infrastructure company, a hands-on technical consultant or integrator, a solutions architect for regulated enterprises, or a technical founder or early engineering leader.
• Apply strong judgment to AI evaluation, privacy, security, governance, and reliability.
• Prior FDE titles, clinical credentials, and experience across every healthcare domain are not required.

Nice to have

There are no preferred items listed in the source for Nice to have.

Practical notes

This role is based in New York City. The engagement is full time. Travel up to 50% is required. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance.