Agentic AI Architect

Title: Agentic AI Architect
Remote

Architect large-scale autonomous AI ecosystems that power intelligent decision-making across underwriting, claims, and fraud prevention.

Define the blueprint for explainable, governed, and compliant Agentic AI across the enterprise.

Technical Skills:

• 8+ years in AI systems or enterprise architecture; 3+ years in LLM/agentic AI.
• Expertise in LangGraph, Semantic Kernel, Autogen, or custom orchestration frameworks.
• Deep understanding of health insurance workflows: claims lifecycle, enrollment, policy underwriting, utilization review.
• Strong 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 track record in AI governance frameworks, audit trails, and ethical controls.
• Preferred: Contributions to open-source AI, whitepapers, or regulatory AI committees.

Key Responsibilities:

• Architect enterprise-grade agentic systems for 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 for compliance (PHI masking, access controls, explainability).
• Integrate knowledge graphs with RAG pipelines to link medical ontologies (e.g., SNOMED, ICD-10, CPT).
• Design self-reflective agents capable of 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 development of trustworthy, explainable AI within HIPAA and SOC 2 frameworks.