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 department. In 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
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