Géza Kuti

Professional bio

Enterprise architect and data/AI executive with 25+ years of experience designing, governing, and delivering platform and application architectures in highly regulated environments including banking, insurance, and life sciences. Trusted advisor to CIO/CDO, risk, audit, and security stakeholders on target-state architecture, technology standards, transformation roadmaps, regulatory evidence, and safe AI adoption. Built practices from zero, owned P&L, and delivered multi-million CHF programmes across enterprise data, AI, cloud, and architecture governance.

Currently Director, Delivery Management | Head of Data Engineering | Lead Enterprise Data Architect at EPAM Systems (Switzerland/DACH). Past roles include Managing Director / AI & Cloud Architecture Consultant at Data Science Commando and Founder & Managing Director / Head of Data Engineering / Lead Architect at Media Bay Kft.

What I believe

• AI adoption should be measured by business outcomes, operational reliability, and risk clarity.
• Data quality, ownership, lineage, and engineering discipline are not optional AI prerequisites.
• Human judgment should be designed into workflows rather than treated as an afterthought.
• Clear writing is a technical leadership tool.

How I work

I prefer explicit problem framing, fast diagnosis, written trade-offs, architecture decision records, governance cadence, and measurable next steps that satisfy both delivery teams and audit/risk stakeholders.