AI Architect Lead
EXL
- Location
- Hybrid (Gurugram, Haryana)
- Employment
- Full-time
- Level
- Senior Level
About the Role
EXL is seeking an AI Architect Lead in Gurugram to design and govern end-to-end AI architectures on Azure for the insurance sector. This role focuses on building scalable GenAI platforms to automate underwriting, claims, and document processing.
Skills
Perks
- Hybrid Work
Full job details
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
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.
Qualifications
- 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