Design the data foundation, model architectures, and platform components required to support the solution lifecycle. Key Actions: • Data sourcing, quality assessment, lineage design • Feature store development and metadata modeling • Model architecture definition (ML, LLM, RAG, agentic patterns) • Platform & MLOps pipeline architecture Enabling Capabilities: • Data & Model Architecture • AI Solution Engineering • AI Operations (AIOps/MLOps) Value Delivered: A scalable, reusable AI foundation that reduces downstream cost and accele