Core Expertise

AI Architecture

The discipline of making AI systems scalable, secure, reliable and affordable enough to run a real business on — not just work in a demo.

What AI architecture means

AI architecture is the discipline of designing how models, agents, data pipelines and infrastructure fit together so a system is scalable, secure, reliable, observable and affordable to run — not just functional in a demo. It covers the same fundamentals as any enterprise architecture, plus AI-specific concerns that don't exist in conventional systems: model and RAG behavior, prompt-injection exposure, agent tool permissions, evaluation and AI governance.

Where it matters most

LLM & Model LayerRAG / RetrievalAgent OrchestrationAI Gateways & Model RoutingData Flows & PermissionsCloud InfrastructureObservability & EvaluationCost & Scale

How I approach it

Every system I design or review is held against the same ten pillars — scalability, security, AI security/guardrails, reliability, observability, governance, cost, data & RAG security, performance and DevSecOps. See the full breakdown in the Production AI Architecture Standard, or start with a structured AI Architecture Review of an existing system.

FAQ

What is AI architecture?

AI architecture is the discipline of designing how models, agents, data pipelines and infrastructure fit together so an AI system is scalable, secure, reliable, observable and affordable to run — not just functional in a demo.

How is AI architecture different from regular software architecture?

It covers the same fundamentals — scalability, reliability, cost, maintainability — plus AI-specific concerns that don't exist in conventional systems: model and RAG behavior, prompt-injection exposure, agent tool permissions, evaluation and AI governance.

Do you design new AI systems or review existing ones?

Both — architecture design for new AI and agentic systems, and structured reviews of existing systems against the same ten-pillar method. See the AI Architecture Review.

Have an AI system that needs real architecture, not just a working demo?

Start with a structured review, or talk through what you're building.