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Principal / Expert Agentic AI Architect
Principal / Expert Agentic AI ArchitectProgrammers.io • United States
Principal / Expert Agentic AI Architect

Principal / Expert Agentic AI Architect

Programmers.io • United States
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Role Summary :

You'll architect large-scale autonomous AI ecosystems that power intelligent decision-making across underwriting, claims, and fraud prevention. You'll define the blueprint for explainable, governed, and compliant Agentic AI across the enterprise.

Key Responsibilities :

  • Architect enterprise-grade agentic systems for end-to-end claims automation, risk scoring, and policy management.
  • Build multi-agent collaboration frameworks for cross-functional reasoning (e.g., Claim Agent + Fraud Agent + Underwriting Agent).
  • Implement governance and safety layers enforcing compliance (PHI masking, access controls, explainability).
  • Integrate knowledge graphs with RAG pipelines to link medical ontologies (SNOMED, ICD-10, CPT).
  • Design self-reflective agents capable of error correction, justification, and escalation to human adjusters.
  • Oversee data lineage, observability, and versioned reasoning for auditable AI.
  • Partner with actuarial and data science teams to integrate predictive models into reasoning agents.
  • Lead teams in developing trustworthy, explainable AI within HIPAA and SOC 2 frameworks.

Technical Skills :

  • 8+ years of experience in AI systems or enterprise architecture, with 3+ in LLM / agentic AI.
  • Expert in LangGraph , Semantic Kernel , Autogen , or custom orchestration frameworks.
  • Deep understanding of health insurance workflows : claims lifecycle, enrollment, policy underwriting, utilization review.
  • Strong foundation in knowledge graphs , vector search , and ontology-based retrieval .
  • Experience integrating FHIR servers , EHR APIs , and data pipelines .
  • Hands-on with cloud-native architectures (Azure Health Data Services, AWS HealthLake).
  • Proven record of designing AI governance frameworks , audit trails , and ethical controls .
  • Preferred : contributions to open-source AI, whitepapers, or regulatory AI committees.

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