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AI Solution Architect

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Remote

AI Solution Architect

Healthrecon Connect

AI Solution Architect

Skills

Google Cloud PlatformAIAWSComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

India

Work mode:

Remote

Published on:

11 September 2026

What they need


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.

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