AI Tooling & Governance Lead

About the role

Zühlke, a Swiss-founded global transformation partner, is looking for an AI Tooling & Governance Lead in Belgrade to set up AI FinOps and ensure AI technologies are used strategically and deliver measurable value. The role acts as the CTO office's main partner to the company-wide AI initiative, turning strategic AI ambitions into practical, secure, scalable and cost-effective solutions, and bringing transparency to how AI tools, models and platforms are used and what they cost.

Key responsibilities

• Establish and run AI FinOps practices: track AI usage and spend, allocate costs and make AI consumption visible to teams and leadership.
• Link AI spend to business value and guide strategic AI investment decisions.
• Gather and consolidate information on AI technologies, usage and costs, and manage the resulting decisions so leadership can act with confidence.
• Take business ownership of AI tools, platforms and services, including licensing, budgets, vendor relationships and roadmaps.
• Evaluate emerging AI technologies, vendors, pricing and licensing models and market developments.
• Define guidelines that help teams choose the right AI tools and models, balancing value, cost and risk.
• Support the implementation, integration and operation of AI solutions, and contribute to governance, security, architecture and compliance discussions.
• Advise the CTO office and Group Functions on AI capabilities, costs and technical considerations.

Required profile

• Strong passion for artificial intelligence and emerging technologies.
• Solid technical background in cloud platforms, enterprise applications, infrastructure, software engineering or related fields.
• Experience owning tools or services from a business perspective, such as licensing, budgeting and vendor management.
• Ability to evaluate new technologies and turn them into practical business solutions.
• Strong analytical, communication and stakeholder management skills, with curiosity and a continuous learning mindset.
• Confident English communication and ability to work in an international environment.

Required skills

• Hands-on experience with AI technologies such as LLMs, AI agents, Copilot technologies, RAG or similar solutions.
• Understanding of FinOps principles and AI cost drivers such as token-based pricing, licensing and cloud consumption, or a strong drive to build this expertise quickly.