Forward Deployment Engineer-Viewer
DeepHealth
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Source verified 6 hours agoThe original job page was active during UpVagas' latest lifecycle check.
About the opportunity
- The Forward Deployment Engineer, Viewer helps customers correctly adopt DeepHealth's enterprise diagnostic Viewer by combining clinical workflow knowledge, engineering depth, and customer communication.
This individual contributor role sits within the Forward Deployment Engineering function and reports to the Service Engineering Lead, Enterprise Intelligence.
- Responsibilities include owning the AI adoption strategy and technical solution design, leading technical discovery, serving as the customer-facing technical lead during go-lives, and providing implementation support and engineering escalation management.
- The position requires domestic and international travel up to 25%, primarily for customer discovery, go-lives, and escalations, and operates as a remote role within the United States.
Key responsibilities
- Own technical solution design and configuration of the Viewer for assigned customers, mapping clinical reading workflows to product configuration.
- Lead technical discovery covering HL7 and DICOM data flows, integrations, migration data, network, and security requirements.
- Train and coach implementation teams and customer administrators, and publish configuration standards, baselines, and deployment playbooks.
- Serve as customer-facing technical lead during go-lives, hypercare, and escalations for clinical and IT stakeholders.
- Provide implementation support and act as the escalation point for Viewer issues in assigned accounts, including troubleshooting and root cause analysis (approximately 20-30% of time).
- Convert recurring customer needs into standardized workflows and product requirements, and manage engineering issue escalations.
- Configure, deploy, and support customer adoption of AI-enabled workflows and agents as they are released.
- Validate releases and hotfixes against representative customer configurations, and support site reliability (SRE) through service health monitoring and incident response.
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.
- 8+ years of overall experience in healthcare IT, medical imaging, or clinical systems.
- 5+ years in a customer-facing technical role for PACS or enterprise imaging, such as PACS administrator, technical consultant, solutions engineer, deployment engineer, or L3 engineer.
- In-depth knowledge of DICOM and working knowledge of HL7 v2 (ADT, ORM, ORU).
- Hands-on configuration and troubleshooting of diagnostic or enterprise imaging viewers.
- Strong understanding of radiology clinical workflow, including RIS, worklists, reading, and reporting.
- Working knowledge of cloud-hosted applications (GCP, AWS, or Azure), networking, and SSO/authentication.
- Demonstrated ability to communicate technical decisions to radiologists, IT leaders, and executives.
- Microsoft Office experience.
Nice to have
- 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.
Benefits
- Dependent Upon Experience (Salary range: 125,000 - 145,000 USD).
Job details
- Location: Remote (United States).
Employment Type
Individual contributor.
- Travel: Up to 25% domestic and international travel.
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