Senior Forward Eng Diagnostic
About The Position
The Senior Forward Deployment Engineer, DxS helps customers correctly adopt DeepHealth’s Diagnostic Suite (DxS) as an integrated solution. This individual contributor owns end-to-end technical design across core PACS, Viewer, Reporting, integrations, and AI for assigned customers. The role leads product-area forward deployment engineers, coaches implementation teams, resolves complex cross-component issues, and turns recurring field needs into standard product workflows. The position operates within DeepHealth’s Forward Deployment Engineering function and sits at the intersection of the Technical Delivery Manager, Product, Service, and Solution Delivery teams. It supports smooth customer adoption, transitions best practices to Service and Solution Delivery teams, and plans upcoming product changes with those teams to ensure commercial readiness. The role has no direct reports and reports to the Service Engineering Lead, Enterprise Intelligence. The position is remote in the United States and requires domestic and international travel up to 25%, primarily for customer discovery, go-lives, and escalations. The salary range is USD 135,000–150,000, dependent upon experience.
Requirements
- Bachelor’s degree in Computer Science, Biomedical Engineering, Health Informatics, Information Systems, or a related field, or an equivalent combination of education and experience.
- At least 8 years of overall experience in healthcare IT, medical imaging, or clinical systems.
- At least 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.
- In-depth knowledge of DICOM and HL7 v2 and how they connect across the radiology order-to-report workflow.
- Hands-on configuration experience with PACS and diagnostic viewers, and experience integrating radiology reporting systems such as PowerScribe.
- Strong understanding of end-to-end radiology clinical workflows, including RIS, worklists, reading, reporting, and results distribution.
- Working knowledge of cloud-hosted applications (GCP, AWS, or Azure), networking, storage, and SSO/authentication.
- Ability to communicate technical decisions to radiologists, IT leaders, and executives, including in escalated situations.
- Microsoft Office experience.
- Ability to travel domestically and internationally up to 25%.
- Follow local, regional, and country employment laws, DeepHealth policies and procedures, and applicable privacy, compliance, safety, and confidentiality standards.
Nice To Haves
- Imaging informatics or clinical credential such as CIIP, PARCA, or ARRT(R).
- Experience deploying or supporting clinical AI applications in radiology.
- Experience in a regulated medical device environment (FDA 21 CFR 820, ISO 13485, IEC 62304) and with ITIL practices.
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 for Reporting Pro, Viewer, and HL7 Integration, and directly own OS/Core PACS configuration.
- Partner with the assigned implementation counterpart to apply learnings and best practices to customer configuration and implementations; train and coach implementation teams on suite-level configuration standards; maintain reference architectures and deployment playbooks.
- Serve as the customer-facing technical lead during go-lives, hypercare, and escalations spanning multiple components.
- Provide technical support to implementation teams for cross-component issues in assigned accounts, including root cause analysis and resolution with Engineering; this accounts for approximately 20–30% of the role.
- 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 by defining requirements, expected customer impact, and success criteria, and feeding them back to Product and Engineering.
- Support 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 by triaging and documenting reproducible defects, tracking status with Engineering, and closing the loop with customers.
- Support site reliability for assigned accounts by monitoring service health with observability tools, participating in incident response, and driving reliability improvements with Engineering.
- Communicate, cooperate, and function professionally and harmoniously with supervisors, coworkers, visitors, and vendors.
- Demonstrate initiative, personal awareness, professionalism, and integrity, and maintain confidentiality.
- Follow applicable employment laws and DeepHealth policies and procedures; comply with data privacy, compliance, safety, and confidentiality standards; and practice universal safety precautions.
- Promote good public relations by phone and in person; adapt and learn new tasks, methods, and systems.
- Report to work regularly and punctually, maintain satisfactory attendance, and complete responsibilities in a quality and timely manner.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
