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Lumexa Imaging

Shaping the Future of Imaging

AI Solutions Architect

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2018Company SiteLinkedIn

Location

North Carolina

Posted

8 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishERP

Job Description

AI Solutions Architect

Lumexa Imaging

• Lead end-to-end solution design for AI use cases, from intake through implementation planning • Translate business problems into technical architectures, workflows, and system integration designs • Define solution components including data flows, APIs, integrations, and user workflows • Independently design, prototype, and implement AI-enabled solutions, particularly for LLM-driven and workflow-based use cases • Rapidly develop MVPs and proof-of-concepts to validate solution feasibility and business value • Configure and leverage enterprise AI tools to deliver solutions • Partner with stakeholders to clarify problem statements, desired outcomes, and success metrics • Contribute to and help manage the AI project pipeline and prioritization process • Design solutions that integrate seamlessly into existing operational and clinical-adjacent workflows • Ensure solutions are usable, scalable, and aligned with end-user needs • Serve as a key interface between business leaders, IT, clinical stakeholders, and vendors • Evaluate AI tools, platforms, and vendors for fit, scalability, security, and ROI • Collaborate with AI engineering and product teams to ensure effective execution of designed solutions • Monitor performance against defined KPIs and identify opportunities to improve outcomes

Job Requirements

  • 5+ years of experience in solution architecture, enterprise systems, or technology consulting
  • Proven experience designing and implementing cross-system workflows and integrations
  • Strong understanding of enterprise systems (e.g., ERP, CRM, RCM, scheduling, contact center)
  • APIs, data integration, and system interoperability
  • Demonstrated ability to translate business needs into technical solutions
  • Ability to leverage and configure underlying technical components (e.g., APIs, data flows, orchestration tools, and data sources) to independently design and implement AI-driven solutions, including LLM-based applications (e.g., prompt-driven workflows, copilots, document processing, or conversational interfaces)
  • Strong understanding of how to apply AI appropriately within enterprise workflows, including awareness of limitations, tradeoffs, and risks
  • Strong stakeholder management and communication skills across technical and business audiences
  • Ability to operate independently in ambiguous, fast-moving environments
  • Excellent project scoping, prioritization, and execution skills, with the ability to manage multiple concurrent initiatives and drive alignment across cross-functional stakeholders with varying levels of technical and operational fluency
  • Demonstrated ability and strong desire to continuously learn and adapt in a rapidly evolving AI landscape, including proactively staying current on emerging tools, capabilities, and best practices and translating that knowledge into practical enterprise applications.

Benefits

  • Health insurance
  • Retirement plans
  • Professional development opportunities

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