Grigoriy Dobryakov

Head of AI Engineering. Builds AI systems that run how engineering and delivery actually operate — and stays a hands-on engineer, not just a manager.

Coding with AI is table stakes; the scarce work is making the management and delivery layer AI-native, where outcomes are won or lost.

Focus

• AI-native delivery intelligence and production AI systems
• Enterprise architecture and AI-focused transformation across multi-team landscapes
• Delivery turnaround: predictability, quality governance, and measurable business impact
• Practical AI enablement: RAG, agentic patterns, and AI-assisted engineering without losing control

Background

Led architecture and AI transformation in large retail/manufacturing ecosystems; rebuilt delivery organizations under margin and reputation pressure; steered product and engineering shifts from boxed software to scalable SaaS; modernized MarTech platforms with ML and predictive analytics.

Public writing, courses, and talks cover engineering leadership, architecture, and applied AI in production contexts.