I design the architecture that makes AI work beyond the demo.
AI & Systems Architect Engineer. I help companies take RAG, agents and MCP from prototype to production, with governance, cost and observability from day one.
AI does not fail. Architecture does.
“The pilot worked, but we could not get it into production.”
Improvised RAG, no evaluation, no governance. It works in the demo and breaks by month 3.
“Our token bill tripled and nobody knows why.”
Huge prompts, agents without budgets and no cost attributed per task.
“The assistant answered wrong and we do not know where it came from.”
No traceability of context, prompt version or agent decisions.
Three ways to work, one method.
AI architecture in production
I design the architecture, engineering, and governance of solutions that combine AI, data, and systems. I turn AI initiatives from exciting prototypes into reliable, scalable, and secure operations, with a strong focus on context orchestration and MCP (Model Context Protocol).
- →RAG, agents, and AI flow architecture with guardrails, continuous evaluation, and MCP-based standardization
- →Design of inference systems, context orchestration, policies, and audit trails
- →Integration between AI, APIs, and legacy systems without operational risk
- →Governance, quality, cost, and observability for production AI
Cloud and technology strategy
Translation of business strategy into concrete cloud, platform, data, and engineering decisions. I help executives, product teams, and architects make choices with balanced TCO, risk, and scale.
- →Architectural roadmaps, trade-offs, and legacy modernization
- →Strategy and deployment across AWS, Azure, and GCP with governance
- →Platform cost, performance, and resilience optimization
End-to-end projects (contractor)
Years of experience leading projects autonomously as a freelancer and independent consultant, with end-to-end delivery in real-world stacks. Ideal for clients who need problem ownership, not just technical hands.
- →Full projects in Python, Django, PHP, Angular, .NET, Node.js, and React
- →Architecture and implementation deployed on AWS / Azure / GCP
- →Integrations, modernization, APIs, and enterprise front-ends
If you want to accelerate critical decisions in architecture, AI, cloud, or modernization, I also work through mentorship and strategic consulting formats — with individual sessions, a shared calendar, and clearly defined scope. Explore mentorship and consulting →
Real decisions, documented as ADRs.
Enterprise RAG with context orchestration and MCP
Thinking about AI architecture in public.
“Request logs and latency dashboards are not enough for AI systems.”
AI Observability: Without Traceability There Is No Trust
Request logs and latency dashboards are not enough for AI systems. When behavior depends on context, models, and probabilistic decisions, observability stops being support infrastructure and becomes a core part of the architecture.
AI Agents in Production: Autonomy Is an Architectural Decision
#architecture #aiContext Orchestration and MCP: The Next Level of AI Architecture
#architecture #aiStrategic Vision Is Not a Title. It Is Decision Architecture.
#architecture #aiAI Cost in Production: Why Token Price Is Just the Beginning
#architecture #aiAn assistant that shows how it was built.
Ask anything about AI architecture. Answers come from my articles, with sources cited and the trace visible: retrieved chunks, latency and answer mode. My thesis, working in practice.
I answer based on the blog articles. Pick a question or write your own.
Nice to meet you, I am Wictor. You talk directly to me.
I started building for the web, moved on to stock exchange microservices, home broker and post-trading at Itaú, and cloud, DevOps and security platforms. Today I use all of it for one thing: making AI work in production.
I am not an agency or a sales team. The person who runs the diagnosis, designs the architecture and follows the execution is me.
From developer to AI architect.
What I am building.
Solutions that translate architecture, engineering, and business vision into scalable products and platforms.
Is your AI ready for production?
In 30 minutes we review your current architecture and you leave with the main risks and where to start.
Need a full analysis? See the 2-week Diagnosis →
- 1BookPick a time on the calendar.
- 2We talkWe review context, architecture and goals.
- 3Next stepsPrioritized risks and where to start.