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Ai Agent Jobs in Quebec (NOW HIRING)

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 ...

Financial Controller

Montreal, QC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Botpress is the enterprise-grade AI agent platform for customer support -- built the other way around. As the 3rd fastest-growing B2B AI start-up worldwide, we're displacing legacy platforms like ...

Field Service Engineer

Bromont, QC · On-site

CA$35 - CA$50/hr

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 ...

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 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.

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

The most popular types of Ai Agent jobs in Quebec 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.

Senior Manager - Senior Tech Lead - AI & Technology Transformation

KPMG

Montreal, QC • On-site

Full-time

Re-posted 13 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

We are currently seeking an Agentic AI Tech Lead who will act as a consultant, delivery leader, and hands-on technical contributor, supporting our clients in the design, integration, and industrialization of generative and agentic AI solutions.

The successful candidate will combine significant consulting experience, a strong understanding of business challenges, and hands-on expertise with Microsoft agentic AI tools. They will guide clients, mentor teams, and deliver robust, secure, and measurable solutions.


What you will do
  • Act as a Tech Lead on agentic AI engagements, defining target architectures, delivery roadmaps, and technology choices across the Microsoft ecosystem, including Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, Azure OpenAI, Power Platform, Dataverse, Microsoft Graph, connectors, and Azure services.
  • Translate client business needs into concrete, prioritized, and measurable agentic use cases by linking strategic objectives, operational processes, change management considerations, and expected value.
  • Lead executive, functional, and technical workshops to scope opportunities, gather requirements, define user journeys, document decisions, and secure stakeholder alignment.
  • Design and develop end-to-end AI agents, from prototype to production, working hands-on with Copilot Studio, Power Platform, Azure OpenAI, Python, APIs, orchestration, prompt engineering, testing, and integration with existing systems.
  • Mentor and develop a multidisciplinary team of developers, architects, data/ML engineers, business analysts, and UX designers, while maintaining high standards of quality, documentation, and delivery.
  • Lead the integration of agents into complex client environments, including Finance, HR, Legal, Risk, Compliance, Operations, and Customer Service functions, with a strong focus on security, permissions, and data governance.
  • Define reusable agentic architecture patterns, including specialized agents, multi-agent orchestration, human-in-the-loop workflows, knowledge bases, RAG, connectors, observability, evaluation, guardrails, and escalation mechanisms.
  • Establish a responsible AI governance framework covering ethics, privacy, security, compliance, risk management, traceability, performance monitoring, and the agent lifecycle.
  • Manage day-to-day client relationships by clarifying priorities, anticipating risks, communicating progress, facilitating decision-making, and maintaining trust with sponsors, IT teams, and business users.
  • Contribute to business development and advisory activities, including opportunity qualification, proposal development, effort estimation, delivery approach definition, and presenting demos or accelerators.
  • Remain hands-on and pragmatic by resolving technical blockers, reviewing deliverables, challenging solutions, supporting teams in execution, and ensuring agents deliver tangible business value.

What you bring to the role
  • A minimum of 7 years of experience delivering technology projects, including significant exposure to generative AI, intelligent automation, or agentic AI, with hands-on experience in enterprise environments.
  • Mandatory experience in a consulting firm or advisory services environment, with demonstrated ability to manage clients, structure engagements, influence stakeholders, and deliver in complex and ambiguous contexts.
  • Strong practical expertise with the Microsoft agentic AI ecosystem, including Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, Azure OpenAI, Power Platform, Dataverse, Microsoft Graph, connectors, Entra ID, and related security principles.
  • Hands-on experience in solution design and development, including Python, REST APIs, system integration, cloud architecture, CI/CD, automated testing, observability, RAG, vector databases, prompt engineering, and model evaluation.
  • Proven track record of delivering end-to-end AI agent solutions, from ideation and prototyping through deployment, operationalization, support, and continuous improvement in production environments.
  • Relevant technical education (computer science, software engineering, data science, or a related field), combined with strong business acumen and the ability to communicate complex concepts clearly.
  • Demonstrated ability to lead, coach, and mobilize multidisciplinary teams, while remaining close to execution and capable of directly contributing to key technical decisions and deliverables.
  • Experience with Agile and DevOps delivery models, including sprint planning, backlog management, solution reviews, client demos, dependency management, and continuous improvement practices.
  • Strong consulting, communication, and client management skills, with the ability to present complex AI concepts to non-technical, executive, and technical audiences.
  • Excellent written and verbal communication skills in both French and English, with the ability to produce clear documentation, actionable recommendations, and high-quality, consulting-grade presentations.

This position requires written and oral fluency in English because it involves interpretation and application of English standards, guidance, laws and regulations, servicing of English-speaking clients located across Canada and collaboration with English Speaking colleagues located outside of Quebec. 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • A minimum of 7 years of experience delivering technology projects, including significant exposure to generative AI, intelligent automation, or agentic AI, with hands-on experience in enterprise environments.
  • Mandatory experience in a consulting firm or advisory services environment, with demonstrated ability to manage clients, structure engagements, influence stakeholders, and deliver in complex and ambiguous contexts.
  • Strong practical expertise with the Microsoft agentic AI ecosystem, including Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, Azure OpenAI, Power Platform, Dataverse, Microsoft Graph, connectors, Entra ID, and related security principles.
  • Hands-on experience in solution design and development, including Python, REST APIs, system integration, cloud architecture, CI/CD, automated testing, observability, RAG, vector databases, prompt engineering, and model evaluation.
  • Proven track record of delivering end-to-end AI agent solutions, from ideation and prototyping through deployment, operationalization, support, and continuous improvement in production environments.
  • Relevant technical education (computer science, software engineering, data science, or a related field), combined with strong business acumen and the ability to communicate complex concepts clearly.
  • Demonstrated ability to lead, coach, and mobilize multidisciplinary teams, while remaining close to execution and capable of directly contributing to key technical decisions and deliverables.
  • Experience with Agile and DevOps delivery models, including sprint planning, backlog management, solution reviews, client demos, dependency management, and continuous improvement practices.
  • Strong consulting, communication, and client management skills, with the ability to present complex AI concepts to non-technical, executive, and technical audiences.
  • Excellent written and verbal communication skills in both French and English, with the ability to produce clear documentation, actionable recommendations, and high-quality, consulting-grade presentations.

This position requires written and oral fluency in English because it involves interpretation and application of English standards, guidance, laws and regulations, servicing of English-speaking clients located across Canada and collaboration with English Speaking colleagues located outside of Quebec. 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME