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Forward Deployment Engineer
DeepHealth. Own the AI adoption strategy for the Viewer, defining requirements, expected customer impact and success criteria .
Posted 10/12/2026full-timeRemote • Massachusetts • United StatesSeniorLead💰 $125,000 - $135,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI adoption strategies and customer-facing technical leadership within healthcare IT, particularly in medical imaging and clinical systems. Proficient in DICOM, HL7, and radiology workflows, with a strong focus on configuration, troubleshooting, and implementation support.
Highest-signal resume keywords
AI Adoption StrategyDICOM KnowledgeCustomer-Facing Technical RoleRadiology Clinical WorkflowConfiguration and Troubleshooting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
DICOMHL7 v2Configuration of Diagnostic ViewersTroubleshooting of Enterprise ImagingClinical AI Applications DeploymentCloud-Hosted ApplicationsNetworkingSSO/AuthenticationData Privacy ComplianceITIL Practices
Soft Skills
Communication with ExecutivesTraining and CoachingProblem-Solving
Tools & Technologies
Microsoft Office
Certifications & Qualifications
CIIPPARCAARRT(R)
Industry Keywords
Healthcare ITMedical ImagingClinical SystemsPACSRegulated Medical Device Environment
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Own the AI adoption strategy for the Viewer, defining requirements, expected customer impact and success criteria
- Design and configure the Viewer for assigned customers by mapping clinical reading workflows to product configuration
- Lead technical discovery covering HL7 and DICOM data flows, integrations, migration data, network and security requirements
- Partner with implementation teams to apply learnings and best practices to customer configurations
- Train and coach implementation teams and customer administrators
- Publish configuration standards, baselines and deployment playbooks
- Serve as customer-facing technical lead during go-lives, hypercare and escalations
- Provide implementation support and resolve complex Viewer issues through reproduction, root cause analysis and engineering collaboration
- Convert recurring customer needs into standardized workflows and product requirements
- Triage, document and track engineering defects through resolution and customer closure
- Configure, deploy and support AI-enabled workflows and agents as released
- Coordinate rollout, site readiness and customer adoption with Technical Delivery and Product teams
- Validate releases and hotfixes against representative customer configurations
- Monitor service health, participate in incident response and drive reliability improvements with engineering
- Transition best practices to Service and Solution Delivery teams and plan product changes for commercial readiness
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Biomedical Engineering, Health Informatics, Information Systems or a related field, or an equivalent combination of education and experience (required)
- 8+ years of overall experience in healthcare IT, medical imaging or clinical systems (required)
- 5+ years in a customer-facing technical role for PACS or enterprise imaging (required)
- In-depth knowledge of DICOM and working knowledge of HL7 v2 (required)
- Hands-on configuration and troubleshooting of diagnostic or enterprise imaging viewers (required)
- Strong understanding of radiology clinical workflow, including RIS, worklists, reading and reporting (required)
- Working knowledge of cloud-hosted applications, networking and SSO/authentication (required)
- Ability to communicate technical decisions to radiologists, IT leaders and executives, including in escalated situations (required)
- Microsoft Office experience (required)
- Imaging informatics or clinical credential such as CIIP, PARCA or ARRT(R) (preferred)
- Experience deploying or supporting clinical AI applications in radiology (preferred)
- Experience in a regulated medical device environment and with ITIL practices (preferred)
- Follows data privacy, compliance, safety and confidentiality standards
- Ability to travel domestically/internationally up to 25%
Benefits
Comp & perks- Remote work in the United States
- Domestic/international travel up to 25%