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Forward Deployment Engineer-Viewer

Role overview

Qualifications

  • Clinical workflow knowledge
  • Engineering depth
  • Strong customer communication skills
  • Experience with HL7 and DICOM

Responsibilities

  • Own technical solution design and configuration of the Viewer for assigned customers
  • Lead technical discovery with customers and implementation teams
  • Partner with implementation counterpart to adopt learnings and best practices into customer configurations
  • Serve as customer-facing technical lead during go-lives and escalations

Key facts

Hard skills

Other skills

  • Problem Solving
  • Communication

About the company

DeepHealth logo

DeepHealth

Digital Health & Health Tech

DeepHealth is RadNet's AI-powered health informatics subsidiary, created to empower breakthroughs in care delivery. The heart of its portfolio of solutions, the DeepHealth OS, is a cloud-native operating system that orchestrates all data to drive value across the enterprise. DeepHealth aims to elevate the role of the radiologist, beyond radiology and across the entire care pathway. It empowers all users across the care continuum with personalized workflows to make work easier and more meaningful. DeepHealth leverages advanced AI technologies in breast, lung, prostate, and brain health, as well as operational efficiencies to create end-to-end efficiency across the enterprise.

Company details

Company typeSME
IndustryDigital Health & Health Tech
Company size201 - 500

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Job description

Own the AI adoption strategy for the Viewer: define requirements, expected customer impact and success criteria, and feed them back to Product and Engineering.

The Forward Deployment Engineer, Viewer helps customers adopt DeepHealth’s enterprise diagnostic Viewer correctly. The role combines clinical workflow knowledge, engineering depth and customer communication to design how the Viewer is configured for each customer, coach implementation teams, resolve complex technical issues, and turn recurring field needs into standard product workflows, including AI-enabled imaging workflows as they are released.

This is an individual contributor role with no direct reports, reporting to the Service Engineering Lead, Enterprise Intelligence. It operates within DeepHealth’s Forward Deployment Engineering (FDE) function, whose purpose is to help customers adopt DeepHealth products correctly. The role sits at the intersection of the Technical Delivery Manager (TDM), Product, Service and Solution Delivery teams to ensure smooth customer adoption. It transitions best practices to the Service and Solution Delivery teams and plans upcoming product changes with them to ensure commercial readiness.

Essential Duties and Responsibilities 

  • Own technical solution design and configuration of the Viewer for assigned customers, mapping clinical reading workflow (worklists, hanging protocols, priors, user roles) to product configuration.

  • Lead technical discovery with customers and implementation teams, covering HL7 and DICOM data flows, integrations, migration data, network and security requirements.

  • Partner with the assigned implementation counterpart for this workstream to adopt learnings and best practices into customer configuration and implementations; train and coach implementation teams and customer administrators on correct configuration; publish configuration standards, baselines and deployment playbooks.

  • Serve as customer-facing technical lead during go-lives, hypercare and escalations, communicating status, options and expectations to clinical and IT stakeholders.

  • Provide implementation support as the escalation point for Viewer issues in assigned accounts, including reproduction, root cause analysis and resolution with engineering (approximately 20–30% of time).

  • Convert recurring customer needs into standardized workflows and product requirements, distinguishing product gaps from configuration or training issues.

  • Own escalation of engineering issues for assigned accounts: triage, document reproducible defects, track status with engineering and close the loop with customers.

  • Configure, deploy and support customer adoption of AI-enabled workflows and agents (e.g., AI-assisted reporting, auto-assignment, intelligent hanging protocols) as they are released, coordinating rollout, site readiness and customer adoption with the Technical Delivery Manager and Product Manager.

  • Validate releases and hotfixes against representative customer configurations before and after deployment.

  • Support site reliability (SRE) for assigned accounts: monitor service health with observability tools, participate in incident response and drive reliability improvements with engineering.

PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above.  Other functions may be assigned and management retains the right to add or change duties at any time.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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