Description

You will architect enterprise-grade agentic systems for end-to-end claims automation, risk scoring, and policy management.

Responsibilities

• Build multi-agent collaboration frameworks for cross-functional reasoning.
• Implement governance and safety layers enforcing compliance (PHI masking, access controls, explainability).
• Integrate knowledge graphs with RAG pipelines to link medical ontologies.
• Design self-reflective agents capable of error correction, justification, and escalation.
• Oversee data lineage, observability, and versioned reasoning for auditability.

Required Skills

• 8+ years of experience in AI systems or enterprise architecture.
• 3+ years experience specifically in LLM/agentic AI.
• Expertise in LangGraph, Semantic Kernel, AutoGen, or custom orchestration frameworks.
• Deep understanding of health insurance workflows (claims lifecycle, underwriting).
• Strong foundation in knowledge graphs, vector search, and ontology-based retrieval.
• Experience integrating FHIR Servers and EHR APIs.
• Hands-on experience with cloud-native architectures (Azure Health Data Services, AWS HealthLake).
• Proven record designing AI governance frameworks and audit trails.
• Familiarity with Claims Automation and Risk Scoring.

Key Skills

Education

Any Gradute