# AI Operations Specialist

## About the Role

This role is focused on managing and optimizing AI-related spend across projects, products, and platforms. Its purpose is to make AI usage more transparent, efficient, and financially sustainable through analysis, stakeholder support, and governance.

You will work closely with developers, data scientists, AI users, platform teams, and Finance to understand how AI services are consumed, where costs are created, and how usage can be improved. The role also connects with existing FinOps practitioners who oversee broader infrastructure cost management in Azure and on-premise environments.

The position is designed for someone who can link technical usage patterns to financial outcomes and turn complex consumption data into practical actions.

## Key Responsibilities

– Advise project, product, and platform teams on cost-efficient and sustainable use of AI services, models, and infrastructure.
– Track AI spend in detail, including API calls, token usage, model runs, and infrastructure consumption.
– Build and maintain dashboards, reporting, and forecasting models for AI workload growth, spend trends, and budget usage.
– Identify savings opportunities through model right-sizing, improved caching, and better usage patterns.
– Monitor AI usage across native and third-party cloud cost management and observability platforms.
– Investigate unusual consumption patterns, determine root causes, and work with developers and AI users on corrective actions.
– Support planning, forecasting, and budgeting for AI initiatives.
– Contribute to governance, standards, KPIs, and reporting for AI-related spend.
– Act as the link between data scientists, engineers, product teams, and Finance.
– Promote FinOps best practices for AI across the organization.
– Collaborate with FinOps practitioners managing broader infrastructure costs, including Azure and on-premise environments.

## Required Skills

– 2–3+ years of experience in cloud cost management, program management, IT financial operations, or a similar role.
– Working knowledge of modern AI and ML ecosystems, including AWS SageMaker, 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 recommend actions.
– Excellent stakeholder management and communication skills.
– Ability to translate technical consumption data into clear financial narratives.

## Cloud Platforms & Technologies

**Cloud Providers**
– AWS
– Azure
– GCP

**AI / ML Platforms**
– AWS SageMaker
– AWS Bedrock
– Azure AI Services
– Azure OpenAI

**Cloud Cost Management & Observability**
– Native cloud cost management platforms
– Third-party cloud cost management platforms
– Observability platforms

**Infrastructure**
– Azure environments
– On-premise environments

## FinOps Responsibilities

– Monitor and optimize AI-related cloud spend.
– Improve cost visibility across AI projects, products, and platforms.
– Build reporting and forecasting models for AI usage and budget utilization.
– Support budgeting and planning for AI demand.
– Identify savings through model right-sizing, caching improvements, and usage optimization.
– Contribute to governance, standards, KPIs, and reporting for AI spend.
– Work with Finance and technical teams to translate usage data into financial decisions.
– Promote FinOps practices for AI across the organization.

## Benefits

– Flexible work models
– Sabbatical leave
– At least 25 days of annual leave, depending on age
– Special paid leave options
– Maternity and paternity leave, with options for additional parental leave
– Childcare contribution for external care of children up to age 12
– Employee health and wellbeing program
– Subsidized yoga and fitness classes
– Healthy meal options
– Fresh fruit daily
– Internal courses
– External courses through the Liechtenstein Academy
– Support for external training and further education
– Coaching and mentoring programs
– International assignments
– Intrapreneurship program
– Discounts on LGT banking products and services
– LGT co-investments
– Discounts on health and property insurance
– Pension plan with individualized options
– Mobility and e-mobility initiatives
– Recognition of major life events

## Why You Might Be Interested

This role offers the opportunity to work at the intersection of AI operations, cost control, and financial governance. It combines detailed usage analysis with stakeholder collaboration across technical teams and Finance. The scope includes AI services, reporting, forecasting, and governance across AWS, Azure, and GCP environments. It may appeal to someone who wants to apply analytical skills to practical cost optimization challenges in an AI-focused setting.