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Enterprise Solution Architect (Healthcare & AI)
Lorven Technologies, Inc.United States🇺🇸United StatesPosted 28 Jul 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Hi ,
Our client is looking for an Enterprise Solution Architect (Healthcare & AI) for a project and below is the detailed requirement.
Job Title: Enterprise Solution Architect (Healthcare & AI)
Location: Remote
Job Description:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field with 15+ years of overall IT experience.
- 7+ years of healthcare domain expertise across Provider, Patient, Clinical, Claims, Payer, Value-Based Care, Fee-for-Service, and System Interoperability.
- Experience in Enterprise or Solution Architecture within complex IT environments.
- Experience working with key healthcare standards and integration technologies (e.g., HL7, FHIR, EDI, DICOM, RIS / PACS, Master Data Management, Electronic Health Record Systems, Interface Engines).
- Experience formulating technology strategy, technical governance, and providing architecture consultation to senior business/technical leaders.
- Lead end-to-end Solution Architecture for healthcare platforms, ensuring alignment with Health Enterprise Architecture standards, technology strategy, and governance.
- Provide expert Technology Consultation, Application Portfolio Management, and Vendor Management to optimize technology investments.
- Design, integrate, and maintain complex systems utilizing core healthcare standards and protocols, including HL7, FHIR, EDI, DICOM, RIS / PACS, Master Data Management (MDM), Electronic Health Record Systems (Epic is a plus), and Interface Engines.
- Evaluate AI tools and products for enterprise utilization to streamline workflows, automate tasks, and drive continuous improvement.
- Evaluate emerging trends to inform solution design and strategic innovation.
- Design, develop, and deploy strategic solutions, including those that are AI-powered, to address complex business challenges with emphasis on responsible use of data and AI.
- Establish architectural blueprints, reference models, technology landscapes, and transition roadmaps to guide development and capabilities across the ecosystem.
- Partner with product owners, business analysts, and engineering leads to govern design patterns and promote technical excellence.
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