AI Operations Specialist – FinOps & AI Cost Management; f​/m​/d

AI Operations Specialist

We are seeking an AI Operations Specialist to manage and optimize the cost of AI across projects, products, and platforms. This role combines hands‑on analysis, stakeholder consulting, and governance to make AI usage more transparent, efficient, and financially sustainable.

The specialist will work closely with developers, data scientists, AI users, platform teams, and Finance to understand how AI services are consumed, identify cost drivers, and improve usage patterns. Responsibilities include tracking costs, building reporting dashboards, identifying savings opportunities, and supporting forecasting and budgeting.

• Advise project, product, and platform teams on cost‑efficient and sustainable use of AI services, models, and infrastructure.
• Track AI costs at a granular level, including API calls, token usage, model runs, and infrastructure consumption.
• Build and maintain reporting, dashboards, and forecasting models for AI workload growth, spend trends, and budget utilization.
• Identify cost‑saving opportunities through model right‑sizing, improved caching strategies, and better usage patterns.
• Monitor AI usage across native and third‑party cloud cost management and observability platforms, including AWS, Azure, and GCP.
• Review unusual consumption behavior, investigate root causes, and collaborate with developers and AI users to define corrective actions.
• Support planning, forecasting, and budgeting for AI initiatives and help teams align expected demand with available funding.
• Contribute to governance, standards, KPIs, and reporting for AI‑related spend.
• Act as the bridge between Data Scientists, engineers, product teams, and Finance to translate operational AI challenges into clear financial requirements and decisions.
• Promote awareness and adoption of Fin Ops best practices for AI across the organization.
• Collaborate with existing Fin Ops practitioners responsible for broader infrastructure cost management, including Azure and on‑premise environments.

• 2–3+ years of experience in cloud cost management, program management, IT financial operations, or a similar role.
• Good understanding of modern AI and ML ecosystems, including platforms such as AWS Sage Maker, Bedrock, Azure AI Services, and Azure OpenAI.
• Experience with cost observability and monitoring tools.
• Strong analytical skills and the ability to interpret usage data, identify anomalies, and derive practical recommendations.
• Excellent stakeholder management and communication skills, with the ability to translate technical consumption data into clear financial narratives.

LGT Financial Services AG, Vaduz, Zweigniederlassung Zürich/Schweiz