Qualified Health is seeking a Director of Epic Forward Deployed Engineering to build and lead the team that sits at the intersection of our AI platform and the health systems we serve. This is not a project management role—it’s a technical leadership position for someone who has lived inside Epic implementations, knows how health system IT and clinical informatics teams operate, and can credibly design integration solutions in front of a CMIO or Epic interface team. You will build and run a pod of Epic Forward Deployed Engineers embedded at our client sites, owning the end-to-end journey from Epic workflow discovery through live production delivery of AI-powered clinical tools.
We have several applications available in the Epic marketplace and we are just getting started!
Key Responsibilities
- Build and lead a team of Epic Forward Deployed Engineers, setting hiring standards, mentoring the team, and establishing the playbook for how QH integrates with health system Epic environments
- Serve as executive technical sponsor for 2–3 strategic health system clients, owning the integration relationship at the CIO, CMIO, and Epic Principal Trainer level
- Lead solution design sessions with client Epic and clinical informatics teams to map AI output delivery paths—CDS Hooks, SMART on FHIR sidebars, In Basket via SendMessage API, HL7 MDM T02 via Epic Bridges, and FHIR R4 write-back
- Own the interface delivery roadmap for each client, managing calendar-driven dependencies (Epic interface configuration is the long pole) and setting realistic expectations internally and externally
- Translate client clinical workflow requirements into clear platform specifications for QH’s data engineering and product teams
- Establish and maintain a reusable integration playbook across Epic modules (MyChart, Ambulatory, ClinDoc, Bridges) so each new client engagement starts faster than the last
- Represent QH at client governance forums, steering committees, and executive briefings
- Collaborate with internal Data and Product Engineering teams to align forward deployed integration work with the core platform roadmap
Required Qualifications
- 8+ years in healthcare IT, Epic implementation, or clinical informatics, with at least 2 years in a leadership or principal role
- Deep, hands-on experience with Epic’s integration ecosystem: Bridges (HL7 v2 interfaces), SMART on FHIR, CDS Hooks, MyChart, and In Basket / SendMessage API
- Must have experience deploying SMART on FHIR applications and able to explain the release process
- Proven track record running Epic go-lives or directing implementations at Epic partner organizations, Epic consulting firms, or large health systems
- Executive-level communication—comfortable presenting architecture decisions to a health system CTO, facilitating workflow design sessions with clinical champions, and debugging interface issues with an Epic analyst in the same day
- Experience managing client relationships end-to-end, including scope negotiation, escalation management, and stakeholder alignment across large, matrixed health system organizations
- Familiarity with FHIR R4 interoperability standards and modern EHR integration patterns
- Bachelor’s degree in a technical, clinical, or healthcare-related field
Preferred Skills
- Epic certification in one or more modules (Bridges, Ambulatory, ClinDoc, MyChart, Orders)
- Background in clinical decision support design or clinical informatics roles inside a health system
- Familiarity with healthcare AI or clinical NLP applications (e.g., risk stratification, autonomous coding, prior authorization)
- Experience working across multiple EHR platforms beyond Epic (Cerner, Athenahealth, etc.)
What Success Looks Like
- A repeatable, documented integration playbook that reduces time-to-live for each new client by 30%+ compared to baseline
- Client Epic and clinical informatics teams who trust QH as a credible technical partner—not just a vendor
- A Forward Deployed Engineering team that is proactive—identifying Epic configuration issues before they block delivery, not after
- Clear, consistent feedback loops from the field into the product and data engineering teams