FinOps, AI and GenAI Analyst

Temporary position for 12 months.

The Cybersecurity Monitoring Ecosystem Department is currently seeking a FinOps, AI and GenAI Analyst to join its team dedicated to the industrialization and governance of large language models (LLMs) in a modern cloud environment. You’ll work in an environment where secure, compliant and high-performing AI solutions are essential to supporting our organization’s strategic activities. In this role, you’ll help govern and optimize costs related to machine learning, LLMs and GenAI usage in our Databricks environment. You’ll apply FinOps principles to support efficient, sustainable use of resources, while ensuring traceability, performance and control over AI-related costs. More specifically, you will be required to:

• Define and develop FinOps practices for LLMs and GenAI use in Databricks (frameworks, standards, metrics)
• Ensure visibility and proper cost allocation for AI usage (tagging, showback, chargeback)
• Optimize inference, training and storage costs by identifying technical drivers (model selection, data volumes, architecture)
• Implement indicators that combine operational performance and financial efficiency (cost per use, cost per product, value generated)
• Establish LLMOps practices to ensure responsible, controlled resource use
• Support data and AI teams in their technical decisions by consistently integrating financial impact
• Contribute to architecture decisions by bringing a cost, sustainability and governance perspective.

What we offer*

• Competitive salary and annual bonus
• 4 weeks of flexible vacation starting in the first year
• Defined benefit pension plan that provides predictable, stable income throughout retirement
• Group insurance including telemedicine
• Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

#LI-Hybrid

What you bring to the table

• Bachelor’s degree in computer science, software engineering, AI or a related field
• A minimum of four years of relevant experience
• Experience in FinOps or cloud cost optimization
• Experience implementing financial governance mechanisms (allocation, tracking, continuous optimization)
• Please note that other combinations of qualifications and relevant experience may be considered
• Knowledge of French is required
• Azure Databricks certification or proven equivalent•
• Strong understanding of the factors that drive LLM and GenAI costs (tokens, embeddings, processing pipelines, storage)
• Strong proficiency in Databricks, with the ability to optimize large-scale processing workloads
• Knowledge of Python and PySpark

Trade Union (If applicable)

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

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