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Air Canada is looking for a Cloud FinOps and AI Specialist to support the financial management, optimization, governance and operation of its growing corporate cloud and artificial intelligence (AI) ecosystem.

This position will focus primarily on artificial intelligence financial operations and cloud financial management, enabling Air Canada to understand, forecast, optimize, and govern its investments in corporate cloud and AI platforms. This includes large language models (LLMs), generative AI applications, AI agents, usage-billed AI services, and enterprise AI licenses.

A key aspect of the role will be to establish visibility into both the costs and business value of AI adoption. The specialist will help develop financial models, forecasts, dashboards, and Return on Investment (ROI) assessments that will enable technology leaders and business executives to make informed decisions regarding AI investments. The incumbent will also participate in the management and operation of the enterprise's AI platforms and provide operational support for certain Development and Operations platforms. The ideal candidate combines strong skills in financial operations, financial analysis, cloud management, and data analysis with a practical understanding of enterprise AI platforms, AWS, generative AI consumption models, license agreements, and platform operations.

Responsibilities:

- Monitor, analyze, and optimize AI-related spend across all enterprise AI platforms and services.




- Track LLM-related token consumption, inference requests, API usage, model usage, licenses, and related infrastructure costs.
- Analyze AI consumption trends across applications, projects, business units, and users to determine optimization opportunities.
- Evaluate the financial effectiveness of AI models using indicators such as cost per token, cost per request, utilization rate, and cost-performance trade-offs.
- Identify opportunities to optimize AI-related spending through wise model selection, usage habit analysis, license management, and consumption control.
- Monitor costs related to AI agents, automated workflows, and multi-modal AI applications.
- Analyze enterprise AI license usage and identify opportunities to improve their allocation and reduce unused or underutilized capacity.
- Collaborate with AI, application development, and other teams to promote cost-effective AI usage practices.

Cloud Cost Management and Optimization

- Monitor and analyze AWS cloud spending by account, application, and business unit.
- Identify cost optimization opportunities, including resource rightsizing, elimination of unused resources, storage optimization, and improved consumption efficiency.
- Analyze AWS consumption habits and formulate actionable recommendations to improve cloud financial efficiency.
- Support the optimization of AWS Savings Plans, Reserved Instances,



and other cloud pricing commitments.
- Collaborate with development and operations, site reliability engineering, applications, infrastructure, and cloud teams to implement cost optimization initiatives.
- Track and report on savings, avoided costs, and financial benefits generated by optimization activities.

Budgeting, Forecasting, and Financial Planning

- Support budgetary planning, forecasting, and the management of annual and ongoing cloud and AI expenditures.
- Analyze historical spend, consumption habits, and adoption trends to develop financial projections.
- Develop and maintain forecasts regarding enterprise AI platforms, cloud services, licenses, and related technology investments.
- Monitor actual spending against budgets and forecasts, and analyze significant variances.
- Develop financial dashboards and reports for senior management highlighting spending, consumption trends, financial risks, and optimization opportunities.
- Collaborate with finance and technology stakeholders to improve financial accountability and spend visibility.
- Develop financial models to estimate the cost of current AI use cases, applications, platform adoption, and infrastructure expansion.
- Provide cost forecasts and financial analyses to support cloud and AI investment decisions.

AI Investment Analysis and Return on Investment

- Develop and maintain ROI evaluations for enterprise AI platforms, services, and initiatives.
- Collaborate with Finance, business units, and technology stakeholders to evaluate the operational and financial value generated by AI investments.
- Collaborate with various teams to establish indicators t

📌 Cloud FinOps and AI Specialist (Toronto)
🏢 Air Canada
📍 Toronto