desjardins
Advisor, Agentic AI and Generative AI
At a Glance
- Location
- Montréal, Canada
- Work Regime
- hybrid
- Employment
- Full time
- Posted
- 2026-08-06
Key Requirements
Required Skills
Domain Knowledge
- Engineering
Requirements
Experience with memory, context and knowledge management and information retrieval concepts for AI systems
Experience with AI frameworks for agent orchestration and multi-agent systems, such as LangGraph, Semantic Kernel or equivalents
Experience with evaluation, validation and observability approaches for AI systems, including harnesses, benchmarks and performance monitoring mechanisms
Experience in the design or implementation of AI agent systems or multi-agent systems
Demonstrated experience transforming testing results into concrete recommendations, AI best practices and reusable assets
Experience publishing technical articles, blog posts, guides or technical content
Compensation & Benefits
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
#LI-Hybrid
Responsibilities
The Artificial Intelligence Centre of Excellence Department is responsible for implementing Desjardins Group’s AI initiatives, promoting AI best practices, developing expertise in emerging AI approaches and technologies and contributing to the organization’s growth and development in this field.
As an advisor in Agentic AI and Generative AI, you work primarily in Desjardins’s incubator and innovation lab in artificial intelligence.
You contribute to exploring, testing and validating new AI approaches, practices and technologies to inform technological decisions, develop the target architecture and accelerate the deployment of responsible, scalable and large-scale AI solutions.
Based on issues and Desjardins’s concrete needs, you carry out applied experimentation aimed at generating reusable learning.
This work helps identify the most promising approaches, the best practices, as well as the technologies, frameworks, standards and tools best suited to maximize the value of AI initiatives.
Success in this role depends primarily on your ability to transform testing results into concrete recommendations, reusable benchmarks and proven practices that accelerate the development of Desjardins’s AI capabilities.