AI Solution Architect (Forward Deployment Engineer)

HealthRecon Connect; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

HealthRecon Connect seeks an experienced professional to assess end-to-end Revenue Cycle Management workflows and design AI-enabled workflows that are HIPAA-compliant. You will create blueprints, process maps, and implementation roadmaps, then build and deploy AI agents and multi-agent systems to solve real-world operational challenges.

You will integrate AI solutions with EHR/PM systems, clearinghouses, RPA, and document management while defining governance for security, privacy, and

Qualifications

• Bachelor's degree required in CS/Engineering/Math.
• 5+ years in Information Technology space.
• 2 years in U.S. Healthcare Revenue Cycle Management.
• 2 years designing and deploying AI/Agent solutions in production.
• Knowledge of HIPAA, PHI handling and security controls.
• Experience with cloud platforms and healthcare interoperability standards.

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.

Skills

AI/Automation design

Agentic AI

Cloud platforms

APIs integration

Stakeholder communication

Education

Bachelor's degree in Computer Science, Engineering, or Mathematics

Tools

LLMs

Orchestration frameworks

Prompt engineering

Retrieval architectures

Agent frameworks

Cloud platforms (AWS/Azure/GC)

Job description

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.

Preferred candidate profile

• Bachelor's degree in Computer Science, Engineering, or Mathematics.
• 5 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.