
1001 - 5000 employees
Founded 2018
π₯ Healthcare
π€ B2B
Healthcare β’ 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.
π₯ 47 minutes ago
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1001 - 5000 employees
Founded 2018
π₯ Healthcare
π€ B2B
Healthcare β’ 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.
β’ Lead end-to-end solution design for AI use cases, from intake through implementation planning β’ Translate business problems into technical architectures, workflows, and system integration designs β’ Define solution components including data flows, APIs, integrations, and user workflows β’ Independently design, prototype, and implement AI-enabled solutions, particularly for LLM-driven and workflow-based use cases β’ Rapidly develop MVPs and proof-of-concepts to validate solution feasibility and business value β’ Configure and leverage enterprise AI tools to deliver solutions β’ Partner with stakeholders to clarify problem statements, desired outcomes, and success metrics β’ Contribute to and help manage the AI project pipeline and prioritization process β’ Design solutions that integrate seamlessly into existing operational and clinical-adjacent workflows β’ Ensure solutions are usable, scalable, and aligned with end-user needs β’ Serve as a key interface between business leaders, IT, clinical stakeholders, and vendors β’ Evaluate AI tools, platforms, and vendors for fit, scalability, security, and ROI β’ Collaborate with AI engineering and product teams to ensure effective execution of designed solutions β’ Monitor performance against defined KPIs and identify opportunities to improve outcomes
β’ 5+ years of experience in solution architecture, enterprise systems, or technology consulting β’ Proven experience designing and implementing cross-system workflows and integrations β’ Strong understanding of enterprise systems (e.g., ERP, CRM, RCM, scheduling, contact center) β’ APIs, data integration, and system interoperability β’ Demonstrated ability to translate business needs into technical solutions β’ 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) β’ Strong understanding of how to apply AI appropriately within enterprise workflows, including awareness of limitations, tradeoffs, and risks β’ Strong stakeholder management and communication skills across technical and business audiences β’ Ability to operate independently in ambiguous, fast-moving environments β’ 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 β’ 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.
β’ Health insurance β’ Retirement plans β’ Professional development opportunities
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