Enterprise Agentic AI
Architecture Insights
Practical whitepapers on building production-grade multi-agent systems, MCP frameworks, and enterprise-scale AI platforms — drawn from 20+ years of engineering at Autodesk, Ford, and GM.
Architecture Research & Guides
Architecture patterns, design decisions, and lessons from building enterprise AI at scale — without exposing proprietary systems.
Designing Multi-Agent Systems at Enterprise Scale with Model Context Protocol
A deep-dive into orchestrating multi-agent AI systems using Model Context Protocol (MCP) and AWS Bedrock AgentCore. Covers agent specialization patterns, inter-agent communication, dual OAuth security boundaries (Azure AD inbound / API outbound), and production observability with OpenTelemetry — drawing from real-world deployments for global enterprise workforces.
Enterprise Knowledge Retrieval with RAG: Patterns for Multi-Domain AI Search
Practical architecture patterns for building production Retrieval-Augmented Generation (RAG) systems across multiple enterprise knowledge domains. Covers hybrid search with Azure AI Search and AWS Kendra, document chunking strategies, RAGAS evaluation framework, and AI quality benchmarking — applicable to any large-scale knowledge platform.
More Coming Soon
Topics in progress: ChatGPT Enterprise integration via Direct Line APIs, LangGraph orchestration patterns, enterprise AI cost optimization strategies.
Follow on LinkedInPrincipal AI Architect &
Enterprise AI Engineer
I architect large-scale AI platforms at Autodesk, building systems that power enterprise workforce intelligence for 15,000+ employees globally. With 20+ years across Fortune 500 companies, I write about the patterns, tradeoffs, and lessons that don't make it into official documentation.