Advisory Practice
Principal-Level AI Architecture, On Demand.
I'm Igor Bobriakov. I help engineering teams ship AI to production — without the rewrites, the cost overruns, or a full-time executive hire.
I'm Igor Bobriakov. I help engineering teams ship AI to production — without the rewrites, the cost overruns, or a full-time executive hire.
Every initiative maps to a business outcome. No science projects. Each sprint has a target and a way to know if it worked.
Your engineers learn production patterns — Pydantic validation, structured outputs, eval-driven development — through code reviews, not decks.
Schema contracts, observability from day one, cost modeling before you pick a provider. Systems that survive the first 10x in traffic.
RAG vs. fine-tuning. LangGraph vs. CrewAI. Build vs. buy. A written rationale, not an "it depends."
One architectural misstep sets a team back by quarters, not weeks.
Founder of ActiveWizards, a 10-year AI engineering studio. 50+ production deployments across healthcare, fintech, and B2B SaaS.
Author of Production-Ready AI Agents — LangGraph, Pydantic validation, and the Three Pillars framework (Observability, Reliability, Security). Same rigor applied to every advisory engagement.
Schema and code reviews to prevent silent failures — the bugs that pass tests but corrupt your pipeline.
The patterns I advise on come from systems my team builds and maintains every day at ActiveWizards.
Three ways to work together. Limited availability.
You have engineers. You need a Principal-level architect to validate decisions.
You need an interim AI leader to drive a critical initiative to production.
Your AI project is stalled. You need an outside perspective grounded in production.
2-5 AI engineers (Python, LangGraph, vector DBs, cloud infra) deployed through ActiveWizards on monthly retainer.
I design the architecture; my engineers build it. One team, one methodology. Pairs with any advisory tier.
A Senior Engineer executes tickets. A Principal Architect prevents you from creating the wrong tickets. The fractional model gives you that judgment — informed by 50+ deployments — without a full-time headcount. The goal is better decisions, not more capacity.
No long-term lock-in. I recommend starting with a 3-month engagement so the work has time to compound, but we can discuss what makes sense for your situation.
We arrange additional hours or a temporary tier upgrade. Production timelines are unpredictable — the engagement adapts.
Deepest experience: healthcare, fintech, B2B SaaS. The production patterns — observability, structured validation, evals — are industry-agnostic. If you're building with LLMs or agentic systems, we speak the same language.
Yes. I sign a mutual NDA before our first working session. Your IP stays yours.
Yes. I'm happy to connect you with current and former advisory clients. Just ask during our intro call.
No junior analysts. No slide deck handoff. I'm in your Slack, reviewing your PRs, attending your standups. You work with me directly.
Absolutely. We start with a diagnostic call to map your architecture and identify the highest-leverage intervention. No commitment required — we decide together if a longer engagement makes sense.
Day 1: 60-minute discovery call — architecture, team structure, blockers. By Friday: written assessment with prioritized next steps.
Good architecture compounds. So does the absence of it.