Senior DxS Forward Deployment Engineer — Remote

DeepHealth

Somerville (MA)

Remote

USD 135,000 - 150,000

Full time

14 days+

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Job summary

DeepHealth seeks a Senior Forward Deployment Engineer to own end-to-end technical design of the Diagnostic Suite (DxS) across PACS, Viewer, Reporting, integrations and AI. You will lead technical discovery with customers and implement teams, produce the design and configuration plan, and ensure a consistent solution.

You will guide FDEs for Reporting Pro, Viewer, HL7 Integration, own PACS configuration, and train teams on standards.

Qualifications

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 in healthcare IT, medical imaging or clinical systems (required).
5+ years in a customer-facing technical role across multiple enterprise imaging components (required).
In-depth knowledge of DICOM and HL7 v2, and how they connect across the radiology workflow (required).
Hands-on configuration of PACS and diagnostic viewers, and experience integrating radiology reporting systems such as PowerScribe (required).
Strong understanding of end-to-end radiology clinical workflow (required).
Working knowledge of cloud-hosted applications (GCP, AWS or Azure), networking, storage and SSO/authentication (required).
Experience deploying or supporting clinical AI applications in radiology (preferred).

Responsibilities

Own end-to-end technical solution design of the Diagnostic Suite for assigned customers, combining core PACS, Viewer, Reporting, integrations and AI into one clinical workflow.
Lead suite-level technical discovery with customers and implementation teams, and produce the solution design and configuration plan used for implementation.
Lead the product-area FDEs (Reporting Pro, Viewer, HL7 Integration) and own OS/Core PACS configuration directly, to deliver a consistent customer solution.
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 on suite-level configuration standards; maintain reference architectures and deployment playbooks.
Serve as customer-facing technical lead during go-lives, hypercare and escalations that span multiple components.
Provide technical support to the implementation teams for cross-component issues in assigned accounts, including 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.