Teams at EXL

Lead development of LLM-powered applications and agentic workflows: implement RAG pipelines, vector DB integrations, prompt orchestration, AI agents, and REST microservices. Optimize inference, deployment (containers/CI-CD/cloud), and evaluate model accuracy/hallucination. Debug performance issues and document designs.

Lead enterprise QA strategy and governance across programs; manage SIT/UAT/regression/performance testing; architect scalable test automation frameworks; integrate tests into CI/CD; lead performance engineering; oversee stakeholder engagement, QA team development, and quality metrics to ensure delivery excellence.

Lead and manage data science engagements for insurance clients: provide technical direction across data engineering, modeling, visualization, Gen-AI/LLM solutions, MLOps, and reporting; run client sessions and project operations; recruit, coach, and manage offshore analytics teams to deliver client expectations.