Forward Deployed Engineer, Healthcare

Jobtailor; Seattle (WA); Hybrid; USD 180,000 - 230,000; Full time

Job summary

Jobtailor is seeking a senior AI/ML engineer to own end-to-end technical solutions for healthcare workflows. You will collaborate with customer engineers, operators, and domain experts to translate complex clinical processes into architecture, requirements, and measurable outcomes.

The role involves designing production AI applications integrated with EHRs, claims systems, and enterprise APIs, with strong emphasis on PHI, HIPAA, and governance.

Qualifications

• Experience translating healthcare workflows into technical requirements and measurable outcomes.
• Ownership of technical discovery, architecture, implementation, evaluation, production deployment, and handoff for complex systems.
• Strong judgment in AI evaluation, privacy, security, governance, and reliability.

Responsibilities

• Own technical solutions end to end from discovery to handoff.
• Partner with customer engineers and domain experts to translate healthcare workflows into technical requirements and measurable outcomes.
• Design and implement AI applications and agentic systems integrated with customer infrastructure and EHR/claims systems.
• Build safeguards for PHI, HIPAA, privacy, security, and governance requirements.
• Define and operationalize evaluation criteria, human-review workflows, and launch criteria.
• Improve reliability and performance via evaluation results, error analysis, and customer feedback.
• Distill deployment learnings into reference architectures and reusable patterns.

Skills

Software Engineering

ML/AI Engineering

Solutions Engineering

Technical Consulting

Architecture Design

Implementation

Evaluation

Production Deployment

Error Analysis

Interoperability Standards

Tools

Enterprise APIs

Data Platforms

Claims Systems

Operational Tools

EHR Technologies

Job description

• Own technical solutions end to end, from customer discovery and workflow scoping through architecture, implementation, evaluation, production deployment, adoption, and handoff
• Partner with customer engineers, operators, and domain experts to frame ambiguous problems and translate healthcare workflows into technical requirements and measurable outcomes
• Design and implement production AI applications and agentic systems integrated 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 with 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, or health information exchanges
• Experience shipping complex systems as a forward deployed/customer engineer, healthcare engineer, EHR/interoperability/revenue-cycle/payer-tech/infrastructure 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 Seattle office three days per week
• Ability to travel up to 50%
• Work authorization 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 solutions from discovery to deployment.

Highest-signal resume keywords

• AI Application Development
• Healthcare Workflow Integration
• EHR Systems Expertise
• Technical Solution Ownership
• Regulatory Compliance Management

Hard Skills

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

Soft Skills

• Strong Judgment
• Problem-Solving
• Collaboration

Industry Keywords

• PHI
• HIPAA
• Governance
• Auditability
• Clinical Operations
• Revenue Cycle Management
• Patient Access
• Health Information Exchanges
• Epic
• HL7

Tools & Technologies

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