Overview
Remote
Depends on Experience
Full Time
Skills
Agentic AI
Job Details
Role: Principal / Expert Agentic AI Architect Healthcare (Expert)
Location: Remote
Duration: Full Time
Interview- Video
Job Description:
Position: Principal / Expert Agentic AI Architect Healthcare (Expert)
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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