Description

You will design and govern AI architectures for GenAI-driven insurance use cases, leading solution design, prompt strategy, and agentic workflow orchestration.

This role is remote.

Responsibilities

• Define end-to-end AI architecture for unstructured document ingestion, reasoning, and output generation using LLM-centric and hybrid approaches.
• Design and govern prompt strategies for loss run extraction, claims summarization, and underwriting decision support, establishing versioning and testing standards.
• Architect agentic AI systems for multi-step reasoning and tool orchestration, driving adoption of LangGraph, AutoGen, or CrewAI in production.
• Design RAG-based knowledge architectures for policy and claims data, ensuring traceability, explainability, and grounding strategies.
• Partner with business stakeholders to shape AI roadmaps and mentor .NET, React, and GenAI developers.

Required Skills

• 5+ years of experience in AI architecture and software development.
• Strong expertise in LLMs, RAG systems, and prompt engineering.
• Hands-on experience with agentic frameworks such as LangGraph, AutoGen, or CrewAI.
• Proficiency in .NET and React development ecosystems.
• Experience designing scalable, secure, and compliant AI platforms on Azure.
• Ability to define evaluation frameworks for precision, recall, and hallucination detection.

Preferred Skills

• Technical project lead experience managing cross-functional engineering teams.
• Domain knowledge in insurance workflows (underwriting, claims, actuarial).

Key Skills

Education

Bachelor's degree