Enterprise AI architect. Production-grade, governance-aware, built for regulated environments.
Most generative AI stops at the demo. The systems I build are the ones that have to keep working: under production load, under audit, under scale that doesn't forgive shortcuts.
About
I'm an enterprise AI architect with 25+ years in software engineering, cloud, and large-scale digital transformation. For the last several years I've designed and delivered production-grade Generative AI, including RAG, agentic systems, AI platforms, and the governance layers around them, inside demanding, regulated environments where a system has to be safe, auditable, and correct, not just impressive in a demo.
My edge is judgment and proof. I've shipped enterprise AI under real constraints of compliance, risk, cost, scale, and organizational reality, so I know where these systems break and what it takes to keep them standing. As the EU AI Act's high-risk requirements land, the gap between a working demo and a defensible production system is exactly where the hardest, most valuable problems live.
That's the work I do.
What I believe
Strategy is not a substitute for a working system.
"Agent" means four different things. Knowing which one you mean is the difference between a roadmap and a wish.
I build the hyped thing myself before I trust it, so I can tell you where it breaks.
A demo proves it can work once. Production proves it works when it has to.
Selected writing · Architecting AI
By the time readiness reaches the compliance team, the system has already decided whether it can comply.
Why "AI strategy" decks so often replace the harder work of building something that runs.
Precision about terminology as a leadership discipline, not pedantry.
Every essay is also available as audio.
Contact
Email alireza@alirezachegini.com
LinkedIn linkedin.com/in/alirezachegini
Newsletter architectingai.substack.com
YouTube @alirezachegini