Overview
Were looking for a technology leader to define and scale the AI architecture standards for a group of companies. The CTO will set technical direction across the portfolio ensuring reliable secure and compliant deployment of multi-agent AI platforms.
Responsibilities
- Define and manage the reference architecture for AI platforms and multi-agent orchestration.
- Oversee data quality governance and traceability frameworks across subsidiaries.
- Manage MLOps pipelines observability and GPU/cloud resources.
- Set standards for security compliance and ethical use of AI across the group.
- Lead and mentor distributed engineering teams creating scalable and high-performance capabilities.
- Partner with product and business leaders to align AI investments with group strategy.
- Assess emerging technologies and vendors guiding build-vs-buy decisions across the portfolio.
Requirements
- 8 years in distributed systems ML platform architecture or large-scale AI deployments.
- Hands-on knowledge of cloud-native infrastructure MLOps and secure-by-design practices.
- Experience leading technical audits and certifications in enterprise environments.
- Proven record of scaling engineering teams across different business contexts.
- Fluency in English and Russian; other languages a plus.
- Excellent communication skills for bridging technical and executive discussions.