Enterprise architecture · GenAI platforms · regulated industries

Principal AI Solutions Architect

I own the path from AI ambition to a system running in production: secure architecture, pragmatic and cost-efficient platform decisions, integration into real workflows, and delivery with leadership context.

Most recently: a GenAI platform in a regulated clinical environment, built solo end-to-end, taken to production, and rolled out across the group.

Ugur Tarlig, Principal AI Solutions Architect

Selected work

Enterprise GenAI in regulated industries

The architecture path from evaluation through enterprise hardening to the production rollout of a GenAI assistant platform in a heavily regulated industry. The reference project comes from healthcare.

  • Translated strategic AI ambition into a concrete platform and rollout model.
  • Balanced security, data boundaries, workflow fit, and adoption.
  • Pitched the concept to an innovation board of executives and managing directors, won the go-ahead as one of several AI use cases, and delivered it with IT operations, product, and delivery.

Read the case study →

How I work

Architecture that survives contact with the organization.

Useful AI work is rarely just model selection. It's the translation layer between business pressure, technical limits, regulation, and adoption.

Solution Architecture

Target architecture, platform boundaries, integration patterns, and operating model.

Enterprise Hardening

Security controls, data handling, observability, vendor fit, and cost discipline.

Executive Delivery

Roadmaps, decision frameworks, stakeholder alignment, and adoption beyond the pilot.

Track record

From C-level ownership to hands-on AI platform delivery.

AI platforms

GenAI architecture and regulated rollout

Enterprise platform evaluation, hardening, introduction, and organizational adoption.

Leadership

CEO, CIO, COO, and CPO ownership

Fifteen years of accountability across technology, operations, and product.

Bridging role

Business-facing technical architecture

Translating fuzzy organizational goals into systems, delivery paths, and decisions.

Contact

A concrete role, a platform task, or an architecture question?

The best starting point is a specific problem, not a generic AI conversation.