AI Foundations Pod Member

Design, build, test, and iterate on data science, machine learning, and Generative AI (GenAI) solutions, including LLM-based systems, retrieval-augmented generation (RAG), agents, and multimodal use cases. Perform data exploration, feature engineering, model training, evaluation, and validation with GenAI-specific metrics (groundedness, hallucination risk, latency, cost, quality). Deliver scalable, maintainable solutions aligned with enterprise standards, with explicit Responsible AI controls (prompt management, guardrails, data provenance, access controls). Produce production-ready code, notebooks, pipelines, and model artifacts (prompts, system instructions, evaluation harnesses, GenAI configuration assets). Collaborate across the Data Science Pod Lead, AI Product Owners, platform, data engineering, MLOps, and software engineering teams; communicate findings to technical and non-technical stakeholders. Ensure quality, governance, and Responsible AI throughout the lifecycle and drive continuous improvement and knowledge sharing.