Lead the architecture and delivery of enterprise-grade LLM and agentic AI systems that transform claims, risk, and operational workflows.
Define technical strategy for retrieval-augmented generation (RAG), multi-agent orchestration, and autonomous workflow automation.
Design and implement advanced agentic systems capable of planning, reasoning, tool selection, execution, reflection, and recovery.
Architect stateful, memory-aware AI systems that manage long-running claims processes across multiple touchpoints.
Build multi-agent collaboration models that coordinate coverage analysis, document validation, fraud signals, compliance checks, and decision support.
Establish orchestration frameworks that manage task routing, context persistence, structured outputs, and failure handling.
Design secure tool integration layers connecting agents to claims systems, policy platforms, data warehouses, document repositories, and external data services.
Implement deterministic guardrails, schema validation, and output verification pipelines to reduce hallucination and execution risk.
Lead development of document intelligence systems leveraging LLMs for summarization, entity extraction, discrepancy detection, and structured data reconstruction.
Define prompt engineering standards and reusable reasoning templates for consistent, domain-aware outputs.