About the role
Define and lead enterprise AI/GenAI architecture strategy and roadmap Design scalable platforms for ML and GenAI (LLMs, RAG pipelines, AI agents) Lead design of advanced use cases: fraud detection, risk modeling, document intelligence, AI copilots Evaluate and onboard LLMs (OpenAI, open-source models like LLaMA, Mistral, etc.) Establish AI governance frameworks (model risk management, explainability, fairness, compliance) Drive adoption of MLOps and LLMOps best practices Provide thought leadership and mentor architects and senior engineers Collaborate with CXOs and business leaders to align AI initiatives with business outcomes Deep expertise in ML, NLP, and GenAI ecosystems Strong experience with LLM frameworks (LangChain, LlamaIndex, Hugging Face) Hands-on with RAG architectures, embeddings, and vector databases Experience in designing enterprise-scale AI platforms on cloud Strong understanding of AI governance, risk, and compliance in BFSI Proven leadership in driving large-scale AI transformations 10-18 years overall, with 5+ years in AI architecture/lead roles