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DeepHealth

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 fit
Core 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

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Applicant Tracking System Keywords

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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 & technologies
Cloud

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%