Forward Deployed Engineer, Healthcare

Jobtailor; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Jobtailor is seeking a senior engineer to own and deliver end-to-end AI healthcare solutions. You will collaborate with customer engineers to translate complex workflows into technical requirements, design scalable production apps, and ensure PHI and HIPAA safeguards are in place.

This role emphasizes hands-on architecture, deployment, and governance for regulated health tech projects. Ideal candidates have extensive healthcare tech experience, experience with EHRs and interoperability

Qualifications

• Demonstrated expertise in building AI-enabled healthcare solutions.
• Experience translating payer/provider workflows into technical requirements.
• Ability to own the solution end-to-end from discovery to handoff.

Responsibilities

• Own the technical solution end to end from discovery to handoff.
• Partner with customer engineers to frame problems and translate workflows into requirements.
• Design and implement production AI applications integrated with health systems.
• Build safeguards for PHI, HIPAA, security, and compliance.

Skills

AI Application Development

Healthcare Experience

EHR Systems Integration

Technical Solution Ownership

Regulated-Enterprise Solutions

Tools

Enterprise APIs

Data Platforms

Claims Systems

Interoperability Technologies

Operational Tools

Job description

• 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, EHRs, claims systems, and operational tools
• Build safeguards for PHI, HIPAA, privacy, security, authorization, governance, auditability, and regulated-delivery requirements
• Define and operationalize evaluations, validation evidence, human-review workflows, escalation paths, and launch criteria
• 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
• Senior engineer, tech lead, or deployment-owner experience 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, including 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, interoperability technologies, or health information exchanges
• Experience shipping complex systems as a forward deployed/customer engineer, healthcare engineer, EHR or interoperability builder, technical consultant/integrator, regulated-enterprise solutions architect, or technical founder/early engineering leader
• Strong judgment in AI evaluation, privacy, security, governance, and reliability
• Ability to work from the San Francisco office three days per week
• Ability to travel up to 50%
• Must be authorized to work in the country where the job is located

Core Competencies

Demonstrates expertise in designing and implementing AI applications within healthcare environments, ensuring compliance with PHI, HIPAA, and security standards. Proven ability to translate complex healthcare workflows into technical requirements and measurable outcomes while leading technical discovery and deployment processes.

Highest-signal resume keywords

• AI Application Development
• Healthcare Experience
• EHR Systems Integration
• Technical Solution Ownership
• Regulated-Enterprise Solutions Architecture

Hard Skills

• Software Engineering
• ML/AI Engineering
• Solutions Engineering
• Technical Consulting
• Architecture Design
• Implementation
• Evaluation
• Production Deployment
• Error Analysis
• Model Selection

Soft Skills

• Strong Judgment
• Problem-Solving
• Collaboration

Industry Keywords

• PHI
• HIPAA
• EHR
• Interoperability Standards
• Epic
• HL7
• FHIR
• Clinical Operations
• Revenue Cycle Management
• Health Information Exchanges

Tools & Technologies

• Enterprise APIs
• Data Platforms
• Claims Systems
• Operational Tools
• Interoperability Technologies