Senior Forward Engineer – Diagnostic Suite

DeepHealth

. Own end-to-end technical solution design of the Diagnostic Suite for assigned customers, combining PACS, Viewer, Reporting, integrations and AI into one clinical workflow .

Posted 10/12/2026full-timeRemote • United StatesSenior💰 $135,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in end-to-end technical solution design for healthcare IT, particularly in diagnostic imaging workflows, with a strong focus on AI integration and customer engagement. Proficient in managing cross-functional teams and ensuring compliance with industry standards while delivering high-quality technical support.

Highest-signal resume keywords

PACS ConfigurationDICOM KnowledgeAI Application DeploymentCustomer-Facing Technical RoleHealthcare IT Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Configuration of PACSIntegration of Radiology Reporting SystemsEnd-to-End Radiology Clinical WorkflowCloud-Hosted ApplicationsNetworkingStorageSSO/AuthenticationTechnical Decision CommunicationRoot Cause AnalysisObservability Tools

Soft Skills

Training and CoachingCustomer EngagementProblem SolvingCommunication

Tools & Technologies

PowerScribeGCPAWSAzureMicrosoft Office

Certifications & Qualifications

CIIPPARCAARRT(R)

Industry Keywords

Healthcare ITMedical ImagingClinical SystemsRegulated Medical Device EnvironmentITIL PracticesData PrivacyComplianceSafety Standards

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Own end-to-end technical solution design of the Diagnostic Suite for assigned customers, combining PACS, Viewer, Reporting, integrations and AI into one clinical workflow
Lead suite-level technical discovery with customers and implementation teams
Produce solution designs and configuration plans for implementation
Lead product-area FDEs and own OS/Core PACS configuration directly
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 multi-component escalations
Provide technical support for cross-component issues, including root cause analysis and resolution with engineering
Convert recurring customer needs into standardized workflows and product requirements
Own the AI adoption strategy across the Diagnostic Suite
Define AI requirements, customer impact and success criteria for Product and Engineering
Coordinate rollout, site readiness and customer adoption of AI-enabled workflows
Triage, document and track engineering issues and close the loop with customers
Monitor service health with observability tools and participate in incident response
Drive reliability improvements with engineering
Transition best practices to Service and Solution Delivery teams and plan product changes for commercial readiness
Report to the Service Engineering Lead, Enterprise Intelligence; work across Technical Delivery, Product, Service and Solution Delivery teams

Requirements

What you’ll need

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)
8+ years of overall experience in healthcare IT, medical imaging or clinical systems (required)
5+ years in a customer-facing technical role across multiple enterprise imaging components such as PACS, viewer, reporting or RIS (required)
In-depth knowledge of DICOM and HL7 v2
Hands-on configuration of PACS and diagnostic viewers
Experience integrating radiology reporting systems such as PowerScribe
Strong understanding of end-to-end radiology clinical workflow
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
Microsoft Office experience required
Ability to follow laws, policies, data privacy, compliance, safety and confidentiality standards
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 and with ITIL practices (preferred)
Willingness to travel domestically/internationally up to 25%

Benefits

Comp & perks

Remote work in the United States
Domestic/international travel opportunities up to 25%