AI Architect

We are seeking a visionary and hands-on AI Architect to serve as a senior technical leader within our AI & Emerging Tech department. In this role, you will be responsible for the end-to-end orchestration of GenAI, RAG, and agentic systems tailored specifically for the P&C insurance industry. You will lead high-performing AI delivery pods, transforming complex insurance workflows into production-ready AI solutions. This role requires a technical advisor who can bridge the gap between cutting-edge LLM innovation and operational insurance excellence.

Responsibilities

• Designing end-to-end AI solutions (data ingestion to inference), implementing LLM/RAG platforms, and managing data modeling for AI-led engineering.
• AI Delivery Leadership: Act as the primary technical lead for GenAI and agentic system initiatives, overseeing the journey from initial architectural design to full-scale deployment.
• Solution Orchestration: Architect sophisticated AI environments utilizing LLMs, LangGraph, vector search engines, and modern observability patterns.
• Domain Integration: Map specific insurance operations including claims, underwriting, and policy management into specialized AI-first architectures.
• System Design & Safety: Establish system boundaries, toolchain integrations, and robust fallback mechanisms, including retrieval logic and safety eval hooks.
• Strategic Collaboration: Work with clients to align AI solutions with their unique technical stacks, whether cloud-hosted, OSS, or hybrid.
• Compliance & Ethics: Partner with governance units to ensure all AI models and systems adhere to NAIC and NIST-aligned regulatory and ethical standards.
• Production Scaling: Spearhead the transition of PoCs to production, ensuring optimal performance, scaling patterns, and containerized inference.
• Mentorship: Provide high-level technical guidance to AI Engineers and Ops teams, fostering a culture of rapid iteration and excellence.

Requirements

12+ years of experience in Software Engineering or Solution Architecture, with at least 2 years dedicated to GenAI or LLM-based systems.

• Deep technical expertise in LLM orchestration, vector databases, and frameworks such as LangChain or LangGraph.
• Proven track record in designing RAG pipelines, multi-agent flows, and embedded AI features like copilots or SmartDocs.
• Hands-on expertise with Cloud platforms (Azure/AWS), CI/CD, and AI observability tools.
• Comprehensive understanding of P&C Insurance data, systems, and regulatory environments.
• Strong knowledge of AI ethics and transparency frameworks (NIST RMF, NAIC).
• Exceptional communication skills with the ability to manage complex stakeholder relationships

Good to Have:

• Experience with composable architecture and building reusable AI accelerators.
• Background in managing hybrid or offshore delivery teams.
• Contributions to the broader AI community through whitepapers or industry speaking engagements