AI Operations Specialist – FinOps & AI Cost Management 80-100% (f/m/d) in Zürich

LGT is the largest Private Banking and Asset Management group in the world to be owned by an entrepreneurial family. As the family office of the Princely House of Liechtenstein, we have years of experience in the management of sizeable sums of assets.

The AI Operations Specialist is responsible for creating transparency, control and optimization of AI-related costs across LGT’s projects, platforms and cloud environments. The role focuses on AI FinOps, usage analytics and cost governance, working closely with developers, data teams, product owners and Finance to translate AI consumption patterns into actionable insights and sustainable operating practices. By monitoring usage, identifying unusual behavior, improving cost efficiency and supporting planning and budgeting, the AI Operations Specialist helps ensure that AI services are scalable, cost-effective and well governed.

Job Description

We are looking for an AI Operations Specialist with a technical IT background. In this role, you will work with application development and the use of AI services in specific use cases. Together with the responsible teams, you will analyse how these services are used, where costs arise and which technical changes could improve their use. In doing so, you will help ensure that AI is used efficiently and remains financially sustainable across projects, products and platforms.

You will work closely with developers, data scientists, AI users, platform teams and Finance to understand the applications and use cases behind AI usage, identify cost drivers and develop improvements with the teams involved. You will analyse unusual consumption patterns, challenge inefficient configurations and help teams make more informed decisions about model usage, infrastructure and budgets.

This role is suited to someone who enjoys connecting technical details with their financial impact and turning complex usage data into practical, actionable measures.

• Work with project, product and platform teams to understand their AI use cases and technical configurations, and identify opportunities to use AI services, models and infrastructure more efficiently.
• Track AI costs at a granular level, including API calls, token usage, model runs and infrastructure consumption.Build and maintain reports, dashboards and forecasting models for AI workload growth, spending trends and budget utilisation.
• Identify opportunities to reduce costs, for example through right-sizing models, improved caching strategies and more efficient usage patterns.
• Monitor AI usage across native and third-party cloud cost management and observability platforms, including AWS, Azure and GCP.
• Investigate unusual consumption patterns, identify root causes and work with developers and AI users to define corrective actions.Support planning, forecasting and budgeting for AI initiatives, aligning teams’ anticipated needs with available funding.
• Contribute to governance, standards, key performance indicators and reporting for AI-related spending.
• Act as a link between data scientists, engineers, product teams and Finance, translating operational AI challenges into clear financial requirements and decisions.
• Promote awareness and adoption of FinOps best practices for AI across the organisation.
• Work with existing FinOps practitioners responsible for broader infrastructure cost management, including Azure and on-premises environments.

Requirements

• Two to three years of experience in a technical IT role, such as software development, application operations or cloud engineering, as well as experience in FinOps or cloud cost management.
• Good understanding of modern AI and machine learning ecosystems, including platforms such as AWS SageMaker, Bedrock, Azure AI Services and Azure OpenAI.
• Experience with cost observability and monitoring tools.
• Strong analytical skills, with the ability to interpret usage data, identify anomalies and develop practical recommendations.
• Excellent stakeholder management and communication skills, with the ability to translate technical consumption data into clear financial explanations.
• Very good German and English language skills, with the ability to communicate clearly and effectively with different audiences in both languages.

Please note that applications submitted via recruitment agencies cannot be considered for this position.

Contact Information

We are looking forward to receiving your online application.

For any further information please do not hesitate to contact us.

LGT Financial Services AG, Vaduz, Zweigniederlassung Zürich/Schweiz

Human Resources

Diane Neff

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