Senior Forward Engineer-Diagnostic Suite

The Senior Forward Deployment Engineer, DxS helps customers adopt DeepHealth’s Diagnostic Suite (DxS) correctly as one integrated solution. The role owns the end-to-end technical design across core PACS, Viewer, Reporting, integrations and AI for assigned customers, leads the product-area FDEs, coaches implementation teams, resolves complex cross-component issues, and turns recurring field needs into standard product workflows.

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 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.

• Own the AI adoption strategy across the DxS suite: define requirements, expected customer impact and success criteria, and feed them back to Product and Engineering.

• Support customer adoption of AI-enabled workflows across the suite as they are released, coordinating rollout, site readiness and customer adoption with the Technical Delivery Manager and Product Manager.

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

• 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.

Minimum Qualifications, Education and Experience

• Education: 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).

• Experience: 8+ years of overall experience in healthcare IT, medical imaging or clinical systems (required).

• Experience: 5+ years in a customer-facing technical role across multiple enterprise imaging components (PACS, viewer, reporting, RIS), such as solutions engineer, technical consultant or senior implementation engineer (required).

• In-depth knowledge of DICOM and HL7 v2, and how they connect across the radiology order-to-report 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, including RIS, worklists, reading, reporting and results distribution (required).

• Working knowledge of cloud-hosted applications (GCP, AWS or Azure), networking, storage and SSO/authentication (required).

• Demonstrated ability to communicate technical decisions to radiologists, IT leaders and executives, including in escalated situations (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 (FDA 21 CFR 820, ISO 13485, IEC 62304) and with ITIL practices (preferred).

• Microsoft Office experience required.

Quality Standards

• Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors.

• Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.

• Follows all local, regional and country laws concerning employment.

• Follows all DeepHealth policies and procedures.

• Follows data privacy, compliance, safety and confidentiality standards at all times.

• Practices universal safety precautions.

• Promotes good public relations on the phone and in person.

• Adapts and is willing to learn new tasks, methods, and systems.

• Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines.

• Completes job responsibilities in a quality and timely manner.

Travel

• This position requires domestic / international travel up to 25%, primarily for customer discovery, go-lives and escalations.

Working Environment

• Remote (United States)

Salary

Dependent upon experience:

135,000-150,000 USD