Responsibilities: Define and own the GENAI solution architecture including model selection, fine-tuning strategy, retrieval-augmented generation (RAG), vector stores, and prompt engineering pipelines. Lead the design, development, and delivery of high-quality, scalable software applications supporting Generative AI initiatives. Collaborate with Data Scientists, MLOps, Cloud Architects, Product Managers, and Legal teams for safe, ethical and compliant AI. Should have hands-on experience on ML e