Series · New

The Enterprise AI Architect's Handbook

The domains, decisions and controls the role owns

A complete working reference for the enterprise AI architect. It covers twenty-nine domains, from turning a business objective into an architecture, through LLM fundamentals, retrieval, knowledge architecture, agents, multi-agent systems, tools and MCP, model strategy, evaluation, LLMOps, security, governance, cloud, cost, reliability and platform architecture, to production readiness, system design practice and architecture leadership. Each domain gets its own article covering what it is, the decisions it forces, how it fails and what a production-grade answer looks like. Useful as a self-study roadmap, an interview preparation map, a hiring bar and an architecture review checklist. Each article stands alone; together they form the full scope of the role.

8 posts. Read in order or jump to any part.