Data AI Architect

Job Title: Data - AI Architect

Primary skills: GenAI RAG & Agentic Workflows LangGraph/LangChain LLM Orchestration Python Vector Databases.

Location : Wilkes Barre PA (Day one onsite 5 days / week)

About the job

We are seeking a visionary and hands-on AI Architect to serve as a senior technical leader within our AI & Emerging Tech this role you will be responsible for the end-to-end orchestration of GenAI RAG and agentic systems tailored specifically for the 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