About the Role We are seeking an innovative and highly skilled Generative AI Data Scientist to join our AI System Design team. This individual will play a key role in bridging business needs with advanced AI-driven solutions. The ideal candidate will have experience in end-to-end AI experiment life cycle management, architecture design, and the ability to translate business KPIs into measurable AI outcomes. A strong background in data management (preferably on Databricks), along with proficiency in modern Generative AI frameworks, is essential. This role demands both technical depth and excellent communication skills to engage with business stakeholders, design scalable AI systems, and ensure reliable model deployment using Azure and Databricks. Key Responsibilities Lead end-to-end AI experimentation processes from conceptualization to deployment. Collaborate with business stakeholders to define success metrics, KPIs, and measurable outcomes for AI applications. Translate business requirements into detailed AI solution designs, including: Business Value definition AI solution design (Data Flow, AI component selection, Prompt Engineering, AP, I, and AI integration planning) Automated model evaluation and monitoring frameworks Design, build, and scale data pipelines and AI workflows on Azure and Databricks ecosystems. Apply Generative AI techniques for text, code, image, and multi-modal use cases using advanced prompt engineering. Utilize modern GenAI toolkits and libraries,