Desjardins Logo

Desjardins

Advisor, Agentic AI and Generative AI

Posted 6 Days Ago
Be an Early Applicant
In-Office
Montréal, QC, CAN
Mid level
In-Office
Montréal, QC, CAN
Mid level
Work in the AI incubator to experiment with agentic and generative AI approaches, evaluate multi-agent and knowledge management architectures, validate frameworks and MCP, and produce recommendations, reusable assets, benchmarks and technical content to accelerate responsible, scalable AI deployment across the organization.
The summary above was generated by AI

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. More specifically, you will be required to:

  • Identify best practices, AI frameworks and AI standards to maximize the value of Desjardins’s AI initiatives.
  • Experiment with AI agent architectures, multi-agent systems, as well as memory, context and knowledge management approaches to understand their benefits, limitations and conditions for success.
  • Evaluate protocols and AI frameworks, platforms and system evaluation approaches, including harnesses and the Model Context Protocol (MCP), to guide AI technology choices and the evolution of the target architecture for AI.
  • Conduct applied experimentation to validate different AI approaches and recommend the most promising AI technologies for the organization.
  • Transform learning into recommendations, guides, accelerators, AI frameworks and reusable assets for the implementation teams.
  • Produce and distribute articles, guides, presentations and other specialized content to promote knowledge sharing and Desjardins’s growth and development in artificial intelligence.

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, Artificial Intelligence, or a related field
  • A minimum of four years of relevant experience
  • Please note that other combinations of qualifications and relevant experience may be considered
  • 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
  • Experience contributing to open source projects or technical communities
  • Knowledge of French is required


Equity, Diversity, Inclusion and Accessibility

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!

Trade Union (If applicable)

Job Family

Data (FG)

Unposting Date

2026-08-27

Desjardins Blainville, Québec, CAN Office

Blainville, Canada

Desjardins Brossard, Québec, CAN Office

Brossard, Canada

Desjardins Laval, Québec, CAN Office

Laval, Canada

Desjardins Longueuil, Québec, CAN Office

Longueuil, Canada

Desjardins Montréal, Québec, CAN Office

1 Complexe Desjardins, , Montréal, QC , Canada, H2X

Desjardins Montréal-Ouest, Québec, CAN Office

Montréal-Ouest, Canada

Similar Jobs

Junior
eCommerce • Fashion • Retail • Sales • Wearables • Design
Front-line brand ambassador delivering personalized luxury retail service, driving sales through client relationships, cross-selling, mobile POS and social selling. Support daily store operations including transactions, inventory, visual merchandising, and asset protection while meeting individual and team KPIs and maintaining service standards.
Top Skills: Clienteling ToolsIpadLaptopMobile PosPosShort-Form VideoSocial Selling PlatformsWalkie-Talkie
6 Hours Ago
Easy Apply
Remote or Hybrid
CA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead development and deployment of production-grade generative AI applications for sales enablement. Build copilots, automated outreach, and voice/chat interfaces; work across model experimentation, app development, and infrastructure; partner with revenue ops, product, and engineering to scale AI features that improve efficiency and personalization across the sales funnel.
Top Skills: APIsBackend SystemsEmbeddingsGongLangchainLatency ManagementLlmsMcpModel EvaluationObservabilityOpenai SdkOutreachPrompt EngineeringPythonRagRetrieval SystemsSalesforceStreaming Voice/Chat PipelinesVector Databases
6 Hours Ago
Remote or Hybrid
Canada
Senior level
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design core platform services, infrastructure-as-code, CI/CD, and scalable APIs. Collaborate with ML, frontend, and product teams to ship AI-powered features, mentor junior engineers, and maintain high availability for consumer and enterprise customers.
Top Skills: Ai Agent OrchestrationAWSAzureCi/CdClaude CodeCopilotCursorEvent-Driven ArchitectureGCPHigh-Throughput Api DesignInfrastructure As CodeReal-Time Systems

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account