Senior Forward Eng Diagnostic

Role overview

Responsibilities

• Own technical solution design for assigned customers, combining PACS, Viewer, Reporting, integrations, and AI into a clinical workflow.
• Lead technical discovery and create solution designs and configuration plans for implementation.
• Lead product-area FDEs and directly own OS/Core PACS configuration.
• Partner with implementation counterparts to apply learnings and best practices to configurations and implementations.
• Coach implementation teams on configuration standards and maintain reference architectures and deployment playbooks.
• Lead customer-facing technical work during go-lives, hypercare, and cross-component escalations.
• Support root-cause analysis and resolution of cross-component implementation issues with engineering.
• Turn recurring customer needs into standardized workflows and product requirements; distinguish product gaps from configuration or training issues.
• Define the AI adoption strategy, requirements, expected customer impact, and success criteria across the suite.
• Coordinate AI workflow rollouts, site readiness, and customer adoption with delivery and product teams.
• Triage and document engineering defects, track resolution, and communicate outcomes to customers.
• Monitor service health, participate in incident response, and drive reliability improvements.

Minimum qualifications

• Bachelor's degree in Computer Science, Biomedical Engineering, Health Informatics, Information Systems, or a related field, or equivalent education and experience.
• 8+ years of experience in healthcare IT, medical imaging, or clinical systems.
• 5+ years in a customer-facing technical role across multiple enterprise imaging components such as PACS, viewer, reporting, or RIS.
• In-depth knowledge of DICOM and HL7 v2 and their role in radiology order-to-report workflows.
• Hands-on configuration of PACS and diagnostic viewers, and experience integrating radiology reporting systems such as PowerScribe.
• Strong understanding of radiology workflow, 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 during escalations.

Preferred qualifications

• Imaging informatics or clinical credential such as CIIP, PARCA, or ARRT(R) is preferred.
• Experience deploying or supporting clinical AI applications in radiology is preferred.
• Experience in a regulated medical device environment and with ITIL practices is preferred; the source text ends mid-qualification.