Artificial Intelligence

• 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 work 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 FinOps best practices for AI across the organization
• Collaborate with existing FinOps practitioners responsible for broader infrastructure cost management, including Azure and on-premise environments.

AI Operations Specialist – FinOps, AI Cost Management

• Actively supports external clients in designing and implementing modern data platforms, dashboards and reporting solutions
• Applies innovative analytics and data technologies and acquires valuable hands-on experience in technical consulting
• Contributes to strategic initiatives and helps identify and develop new business opportunities
• Analyzes, models, integrates and optimizes data using ETL/ELT processes for dashboards and reports in cloud and on-premises environments
• Communicates and collaborates closely with internal and external stakeholders to understand requirements and develop appropriate data-driven solutions

Data & AI Consulting Intern

• Extend and maintain the CES module
• Define AI integration patterns
• Build wrappers and internal SDKs
• Implement document processing pipelines
• Write integration tests and documentation

AI Development Framework Engineer

• Implement and take part in shaping Visium’s internal AI strategy with leadership, then own it end to end: from direction to a running, measurable operation.
• Design, build and deploy agentic workflows and automations that improve how teams across Visium operate.
• Drive adoption and enablement: build shared resources and reference setups, and design a continuous learning loop that keeps everyone sharp.
• Communicate policies and ways of working clearly, and make people actually want to follow them.
• Measure impact: track adoption and productivity signals, report ROI to leadership, and decide what to keep, kill or change based on the data.
• Make pragmatic build-versus-buy decisions, favouring simple, managed solutions over over-engineering.

Artificial Intelligence jobs in Switzerland

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AI Operations Specialist – FinOps, AI Cost Management

Data & AI Consulting Intern

AI Development Framework Engineer

AI Operations Lead