AI Solutions Architect

🕒 July 29

🌲 North Carolina – Remote

🌲 North Carolina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lumexa Imaging

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2018

🏥 Healthcare

🤝 B2B

Healthcare • B2B

Lumexa Imaging is a national outpatient diagnostic imaging company building partnerships with health systems to expand access to advanced medical imaging. It operates 185+ outpatient imaging centers across 13 states (including 85+ centers run as joint ventures with health systems), provides centralized scheduling, subspecialized radiologist interpretations (including teleradiology through its Connexia offering), and leverages AI and state-of-the-art equipment to improve clinical quality and operational efficiency. Lumexa focuses on patient experience, convenient outpatient care that can be lower-cost than hospital outpatient departments, and collaborative joint ventures with health systems.

📋 Description

• 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

🎯 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