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Ai Agent Jobs in Quebec (NOW HIRING)

Advanced Multi-Agent Orchestration: Design and build the core of GameFrame AI, implementing sophisticated multi-agent (LangGraph Swarm) and single-agent (ReAct) systems that translate user requests ...

Experience with vector databases, Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent frameworks * Experience with observability or monitoring for AI systems (tracing, evals ...

... AI agent solutions across PMO and COO use cases managing scope timeline risks and dependencies Provide handson solution design for Copilot Studio agents including prompt architecture RAG patterns and ...

Technical skills · Experience in Python development. · Experience with generative AI APIs (OpenAI, Anthropic, Microsoft Copilot, or equivalent). · Knowledge of AI agent concepts, RAG (Retrieval ...

Technical skills · Experience in Python development. · Experience with generative AI APIs (OpenAI, Anthropic, Microsoft Copilot, or equivalent). · Knowledge of AI agent concepts, RAG (Retrieval ...

Technical skills · Experience in Python development. · Experience with generative AI APIs (OpenAI, Anthropic, Microsoft Copilot, or equivalent). · Knowledge of AI agent concepts, RAG (Retrieval ...

Experience with Microsoft Copilot Studio, Power Platform, or similar AI agent platforms. * Experience with C# and .NET. * Experience working in Linux and Windows environments. * Strong understanding ...

AI agent role is to help speed up your hiring process by answering questions, confirming basic information, and identifying whether there's a mutual fit. The call or chat may be recorded so that our ...

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Ai Agent information

What is an AI Agent?

An AI Agent job typically involves designing, developing, and managing autonomous or semi-autonomous AI systems that can perform tasks, make decisions, and interact with users or other systems. AI Agents may be used in customer service, data analysis, automation, and decision-making processes. Professionals in this role often work with machine learning models, natural language processing, and reinforcement learning to enhance the capabilities of AI-driven agents.

What does an AI Agent do?

AI Agents often work on projects that involve designing, developing, and optimizing AI-driven systems such as chatbots, recommendation engines, or automated decision-making tools. Daily tasks may include data preprocessing, model training and evaluation, troubleshooting system performance, and collaborating with data scientists, software engineers, and product managers to align solutions with business objectives. The work environment is typically collaborative, fast-paced, and outcome-oriented, allowing team members to contribute ideas and innovations regularly. Over time, AI Agents can progress into more specialized or leadership roles, taking on greater responsibilities and overseeing larger initiatives.

What are the key skills and qualifications needed to thrive as an AI Agent?

To thrive as an AI Agent, you need a strong background in artificial intelligence, machine learning, and data analysis, often supported by a relevant degree in computer science or a related field. Familiarity with programming languages such as Python, TensorFlow, and natural language processing (NLP) tools, as well as certifications in machine learning or AI technologies, is often required. Strong problem-solving abilities, teamwork, and effective communication skills are important for collaborating on complex projects. These abilities are essential for developing, maintaining, and improving AI-driven solutions that meet the needs of businesses and end-users.

How can I become an AI agent?

To become an AI agent, you typically need a background in computer science, data science, or related fields, along with skills in programming languages like Python and knowledge of machine learning frameworks. Gaining experience through relevant projects, certifications, or training in AI and automation tools can also be beneficial. Strong problem-solving skills and understanding of AI ethics are important for this role.

How much does an AI agent make?

The salary of an AI agent varies depending on experience, location, and industry, but typically ranges from $70,000 to $130,000 annually. Roles often require skills in machine learning, programming, and data analysis, with higher salaries for those with advanced certifications or specialized expertise.

What work can AI agents do?

AI agents can perform tasks such as data analysis, automation of repetitive processes, customer support through chatbots, and decision-making assistance. They often require skills in programming, machine learning, and familiarity with AI tools and platforms.

What are the most commonly searched types of Ai Agent jobs in Quebec?

The most popular types of Ai Agent jobs in Quebec are:

What are popular job titles related to Ai Agent jobs in Quebec?

For Ai Agent jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Ai Agent jobs in Quebec look for?

The top searched job categories for Ai Agent jobs in Quebec are:

What cities in Quebec are hiring for Ai Agent jobs?

Cities in Quebec with the most Ai Agent job openings:

Infographic showing various Ai Agent job openings in Quebec as of August 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution.

Advisor, Agentic AI and Generative AI

Montreal, QC • Hybrid

Full-time

Medical, Retirement, PTO

Posted 18 days ago


Job description

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