AI platforms · architecture
Architecture across enterprise AI engagements
AI platform architecture for S&P 500 and global enterprise clients, including an AI supply-chain control tower for Boeing and a near-real-time AI personalization and promotion system for Marriott.
Public details intentionally limited
- S&P 500 and global enterprise clients. AWS · Azure · GCP · Databricks · Snowflake.
Context & problem
Every enterprise wants “an AI platform”; few can say what theirs must do. On these engagements the architecture itself was the deliverable, turning ambiguous mandates into systems clients commit to building.
Selected engagements
- Boeing: An AI control tower architecture for supply-chain management.
- Marriott: A near-real-time AI personalization and promotion system.
- Novelis: ML and AIOps for manufacturing.
- And others: Multiple end-to-end platform designs for S&P 500 and global enterprise clients across AWS, Azure, GCP, Databricks, and Snowflake, with teams mentored across the ML and GenAI practice along the way.
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