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