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    Job · 16284615

    HC

    AI Solution Architect

    Healthrecon Connect · Not specified · onsite · Posted 44d ago

    Not disclosed6–8 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Responsibilities:

    • Assess end-to-end RCM workflows (Patient Access, Coding, Charge Capture, Claims, Denials, Payments, AR, Correspondence) and identify automation opportunities.
    • Design AI-enabled and Agentic workflow solutions using HIPAA-compliant components and architectures.
    • Create solution blueprints, process flows, business cases, and implementation roadmaps.
    • Build and deploy AI agents and multi-agent workflows to solve real-world operational problems.
    • Integrate AI solutions with EHR, PM, clearinghouse, RPA, document management, and communication platforms.
    • Define governance frameworks covering security, privacy, auditability, human-in-the-loop controls, and compliance requirements.
    • Collaborate with Operations, Product, Engineering, Compliance, and Client stakeholders to deliver scalable solutions.
    • Measure and continuously optimize automation outcomes using operational KPIs and ROI metrics.

    Qualifications:

    • Bachelor's degree in Computer Science, Engineering, or Mathematics.
    • 6+ Years of experience in Information Technology space.
    • 2+ years of experience in U.S. Healthcare Revenue Cycle Management.
    • 2+ years of hands-on experience designing and deploying AI, Agentic AI, or AI Agent solutions in production environments.
    • Understanding of RCM workflows, payer rules, and operational pain points.
    • Experience with LLMs, orchestration frameworks, prompt engineering, retrieval architectures, and agent frameworks.
    • Practical experience integrating AI solutions using APIs and cloud platforms.
    • Knowledge of HIPAA requirements, PHI handling, security controls, and responsible AI practices.
    • Ability to translate business requirements into technical solution designs and executive-level recommendations.
    • Exposure to cloud platforms such as AWS, Azure, or Google Cloud healthcare environments.
    • Familiarity with healthcare interoperability standards and RCM technologies.
    • Understanding around automating coding, claims scrubbing, denial management, payment posting, AR follow-up, or document processing workflows.

    Sourced from foundit

    Skills

    Prompt EngineeringDocument Managementcloud platformsapisrpaLarge Language Models (LLMs)orchestration frameworksagent frameworkshealthcare interoperability standardscommunication platformsAi Solutionsretrieval architectures

    AI Solution Architect · waiting for your command