Generative AI Data Scientist/Agentic AI, Python/is required by a global IT company to join their data science team building AI systems used across the organization. Responsibilities: Lead end-to-end AI development process from concept to deployment. Translate business requirements into clear AI solution designs. Design and build data pipelines and AI workflows based on Azure cloud and Databricks. Apply Generative AI techniques for text, code, image, and multimodal use cases. Utilise agentic frameworks such as LangChain, LangGraph, MCP, Google ADK or similar Build solutions for LLM fine-tuning, RAG, and multi-agent AI workflows. Build Python based solutions using key data science and ML libraries (Pandas, NumPy, Scikit-learn, PyTorch, Hugging Face, etc ) Prepare documentation and sharing solution designs, decisions, and results with both technical and non-technical audiences. Required experience: Strong Python skills PyTorch, Hugging Face, Scikit-learn, TensorFlow or similar AI/ML libraries. Extensive data science experience including Generative AI/LLMs. Experience in developing prompts and fine-tuning large language models (LLMs). Agentic AI frameworks. Databricks for data engineering and ML workflows. Azure cloud and MLOps practices. Clear communication and ability to connect technical work to business needs. Experience with vector databases, RAG solutions, and multi-agent systems will be beneficial.