EXL—AI Architect Lead

Job description

Description: As an AI Architect & .NET developer, you will be responsible for designing and governing end‑to‑end AI architectures on Azure ecosystem that enables intelligent automation and decision support across insurance functions such as underwriting, claims, reinsurance, and document‑heavy operations. The role focuses on building scalable, secure, and production‑grade GenAI platforms leveraging LLMs, Agentic AI, OCR to process complex unstructured insurance documents (e.g., loss runs, policy forms, claims reports) and generate accurate, explainable, and auditable outputs. You will define architectural patterns, lead the implementation team, and partner with business and technology stakeholders to ensure AI solutions are enterprise‑ready, cost‑efficient, and aligned with regulatory and operational constraints Requirements: - GenAI Architecture - .NET (Backend) and React (Frontend) Developer - Azure AI / Azure AI Foundry experience/ Vector Databases using Azure AI search - Prompt Engineering & LLM Design - Retrieval‑Augmented Generation (RAG) Architectures Responsibilities: As an AI Architect & .NET developer, you will be responsible for designing and governing end‑to‑end AI architectures on Azure ecosystem that enables intelligent automation and decision support across insurance functions such as underwriting, claims, reinsurance, and document‑heavy operations. The role focuses on building scalable, secure, and production‑grade GenAI platforms leveraging LLMs, Agentic AI, OCR to process complex unstructured insurance documents (e.g., loss runs, policy forms, claims reports, bordereaux) and generate accurate, explainable, and auditable outputs. You will define architectural patterns, lead the implementation team, and partner with business and technology stakeholders to ensure AI solutions are enterprise‑ready, cost‑efficient, and aligned with regulatory and operational constraints.