City State Country: TORONTO, ONTARIO, CANADA Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation. Air Canada is seeking a Specialist, Cloud and AI FinOps to support the financial management, optimization, governance, and operation of our growing enterprise Artificial Intelligence and cloud ecosystem. This role will have a strong focus on AI FinOps and Cloud Financial Management, helping Air Canada understand, forecast, optimize, and govern investments across cloud and enterprise AI platforms. This includes Large Language Models (LLMs), Generative AI applications, AI agents, consumption-based AI services, and enterprise AI licensing. A key aspect of the position will be establishing visibility into both the cost and business value of AI adoption. The Specialist will help develop financial models, forecasts, dashboards, and Return on Investment (ROI) assessments that enable technology and business leaders to make informed decisions regarding AI investments. The role will also support the administration and operation of enterprise AI platforms and provide operational support for selected DevOps platforms. The ideal candidate combines strong FinOps, financial analysis, cloud cost management, and data analytics capabilities with a practical understanding of enterprise AI platforms, AWS, Generative AI consumption models, licensing, and platform operations.

Responsibilities:
AI Consumption & Cost Optimization
- Monitor, analyze, and optimize AI-related expenditures across enterprise AI platforms and services.
- Track LLM token consumption, inference requests, API usage, model utilization, licensing, and associated infrastructure costs.




- Analyze AI consumption trends across applications, projects, business units, and users to identify optimization opportunities.
- Evaluate the financial efficiency of AI models using metrics such as cost per token, cost per request, utilization, and cost-performance trade-offs.
- Identify opportunities to optimize AI expenditure through appropriate model selection, usage patterns, licensing, and consumption controls.
- Monitor costs associated with AI agents, agentic workflows, and multi-model AI applications.
- Analyze enterprise AI license utilization and identify opportunities to improve allocation and reduce unused or underutilized capacity.
- Partner with AI, application development and other teams to promote cost-effective AI consumption practices.
- Monitor and analyze AWS cloud expenditures across accounts, applications, and business units.
- Identify cost optimization opportunities including resource rightsizing, unused resources, storage optimization, and improved consumption efficiency.
- Analyze AWS consumption patterns and provide actionable recommendations to improve cloud financial efficiency.
- Support the optimization of AWS Savings Plans, Reserved Instances, and other cloud pricing commitments.
- Partner with DevOps, SRE, application, infrastructure, and cloud teams to implement cost optimization initiatives.
- Track and report realized savings, cost avoidance,



and financial benefits generated through optimization activities. Budgeting, Forecasting & Financial Planning
- Support annual and ongoing cloud and AI budget planning, forecasting, and expenditure management.
- Analyze historical spending, consumption patterns, and adoption trends to develop financial projections.
- Develop and maintain forecasts for enterprise AI platforms, cloud services, licensing, and related technology investments.
- Monitor actual spending against budgets and forecasts and investigate material variances.
- Develop financial dashboards and executive-level reporting highlighting expenditure, consumption trends, financial risks, and optimization opportunities.
- Partner with Finance and technology stakeholders to improve financial accountability and expenditure visibility.
- Develop financial models to estimate the cost of new AI use cases, applications, platform adoption, and infrastructure expansion.
- Provide cost projections and financial insights to support cloud and AI investment decisions. AI Investment Analysis & ROI
- Develop and maintain ROI assessments for enterprise AI platforms, services, and initiatives.
- Partner with Finance, business units, and technology stakeholders to evaluate the business and financial value generated by AI investments.
- Work with different teams to establish metrics to measure AI investment performance, including cost savings, productivity improvements, operational efficiencies, utilization, and measurable financial advantages.
- Support business cases and financial justification for new AI initiatives and platform investments.
- Compare actual AI expenditures with expected and realized benefits to assess investment effectiveness.
- Develop dashboards and exec

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