The SAS Platform and Data Valorization Department is currently looking for a Data and Artificial Intelligence Advisor to join the team as part of an initiative to govern its SAS platforms in a modern cloud environment (Azure). As a Data and Artificial Intelligence Advisor, you’ll support our projects and help us achieve our objectives by implementing and updating our tools and processes. You’ll help deploy and evolve advanced tools, strengthen our AI governance framework and build the team’s AI capabilities. You’ll use AI-informed approaches to help us govern a large IT ecosystem at scale. You’ll also implement market best practices to ensure the robustness, traceability and evolution of our models. More specifically, you will be required to:

• Help define and implement AI-based tools to support SAS platform governance.

• Provide oversight for analytics and artificial intelligence from a SAS governance perspective.

• Work with the Artificial Intelligence Centre of Excellence to ensure compliance, responsible AI practices and governance across the data and analytical model lifecycle.

• Assess and monitor model quality, bias and performance.

• Advise and support business, analytics and IT teams.

• Implement monitoring, audit and continuous improvement mechanisms.

• Stay up to date on evolving practices, SAS capabilities and regulatory requirements.

• Develop scripts and workflows to manage training data and prompts in the data lake.

• Implement versioning, traceability and compliance mechanisms for models and their artifacts.

• Work with data engineering teams to ensure our AI solutions are resilient and protect confidential information.

 

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

 

Ce que vous mettrez à profit

• Bachelor’s degree in computer science, software engineering, AI or another related discipline

• A minimum of six years of relevant experience in machine learning

• Please note that other combinations of qualifications and relevant experience may be considered

• Significant experience in machine learning and developing AI models

• Proven experience deploying and operationalizing AI models in cloud environments, including Azure

• Strong command of AI and LLM frameworks and related practices (e.g., Hugging Face, LangChain, OpenAI API)

• Hands-on experience with MLOps/LLMOps tools and practices (e.g., MLflow, Azure Machine Learning, CI/CD pipelines)

• Strong programming expertise (Python required, Java and Bash are considered assets)

• Azure certification or proven ability to operate effectively in this ecosystem

• Knowledge of French is required

Action oriented, Business insight, Complexity, Customer Focus, Differences, Nimble learning

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!

Job Family

Data (FG)

Unposting Date

2026-05-13