Forward Deployment Engineer – Viewer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the AI adoption strategy for the Viewer, outlining requirements, anticipated customer impact, and success metrics.

• Design and set up the Viewer for designated customers by aligning clinical reading workflows with product configurations.

• Lead technical discovery sessions with customers and implementation teams, addressing HL7 and DICOM data flows, integrations, migration data, as well as networking and security needs.

• Collaborate with implementation colleagues to incorporate insights and best practices into customer configurations and implementations.

• Provide training and guidance to implementation teams and customer administrators on proper configuration.

• Create and disseminate configuration standards, baselines, and deployment playbooks.

• Act as the technical lead for customers during go-lives, hypercare periods, and escalations.

• Offer implementation support and serve as the escalation point for Viewer-related issues, including reproduction, root cause analysis, and resolution in coordination with engineering.

• Transform recurring customer requirements into standardized workflows and product specifications.

• Triage, document, and monitor reproducible engineering defects until resolution and maintain customer communication.

• Configure, deploy, and facilitate customer adoption of AI-enabled workflows and agents.

• Collaborate with the Technical Delivery Manager and Product Manager to coordinate AI rollout, site readiness, and adoption.

• Validate releases and hotfixes against representative customer configurations.

• Oversee service health using observability tools, engage in incident response, and drive reliability enhancements with engineering teams.

• Transition best practices to Service and Solution Delivery teams and prepare for upcoming product changes to ensure commercial readiness.

• Operate as an individual contributor, reporting to the Service Engineering Lead, Enterprise Intelligence.

⛳️ Requirements

• A 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).

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

• At least 5 years in a customer-facing technical role related to PACS or enterprise imaging (required).

• Extensive knowledge of DICOM, including SOP classes, tags, query/retrieve, presentation states, and hanging protocols (required).

• Familiarity with HL7 v2, including ADT, ORM, and ORU (required).

• Hands-on experience with configuration and troubleshooting of diagnostic or enterprise imaging viewers (required).

• Strong comprehension of radiology clinical workflows, including RIS, worklists, reading, and reporting (required).

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

• Capacity to convey technical decisions to radiologists, IT leaders, and executives, especially in escalated circumstances (required).

• Proficiency in Microsoft Office (required).

• Imaging informatics or clinical credentials such as CIIP, PARCA, or ARRT(R) (preferred).

• Experience in deploying or supporting clinical AI applications in radiology (preferred).

• Experience in a regulated medical device environment and familiarity with ITIL practices (preferred).

• Adhere to data privacy, compliance, safety, and confidentiality standards.

• Comply with relevant employment laws and DeepHealth policies and procedures.

• Consistent scheduled attendance and punctuality are required.

🏝️ Benefits

• Opportunity for remote work within the United States.

• Domestic and international travel up to 25% for customer discovery, go-lives, and escalations.