The role of Director, Data Science & AI involves designing and developing intelligent, autonomous AI agents using frameworks like LangChain, AutoGPT, and CrewAI. Responsibilities include working with Large Language Models (LLMs) such as GPT-4, Claude, LLaMA, and Mistral to create scalable, enterprise-grade agentic solutions. The position requires building and optimizing Machine Learning/Deep Learning models, collaborating with cross-functional teams for AI-first digital experiences, and staying updated with Generative AI advancements, including RAG, Vector Databases (FAISS/Pinecone), and Prompt Engineering. A minimum of 5 years of experience in Data Science, Machine Learning, or AI is required, with hands-on proficiency in Python, LLM APIs, and ML/DL libraries (PyTorch, TensorFlow, Scikit-learn). Experience with Agentic AI frameworks, orchestration tools, and cloud-based AI deployments (Azure/AWS/GCP) is essential, along with a growth mindset and curiosity for emerging AI technologies.