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Ai Manager Jobs in Quebec (NOW HIRING)

Experience building, deploying, and managing AI agents in production environments * Strong problem-solving skills and ability to work independently on ambiguous problems * Clear communicator ...

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 ...

You will be expected to manage your own projects, develop them in Python, and work with the DevOps ... The team serves as the hub for AI and machine learning across the entire organization and all our ...

You will be expected to manage your own projects, develop them in Python, and work with the DevOps ... The team serves as the hub for AI and machine learning across the entire organization and all our ...

Participate in project management activities, including deliverable tracking and stakeholder ... Curiosity and enthusiasm for artificial intelligence (AI). * Ability to thrive in a fast-paced and ...

Collaborate closely with data teams to define requirements, manage feature stores, and ensure the quality of data flowing between the core SIMPRO platform and new AI agents. Ce que vous apportez Nos ...

Demonstrated experience designing or managing sophisticated, multi-step AI workflows involving workplace tools, connected systems, or data integrations. * Strong analytical, critical thinking, and ...

Showing results 41-60

Ai Manager information

How do you become an AI manager?

To become an AI manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in artificial intelligence, machine learning, or data analysis. Developing leadership skills and understanding project management are also important, often supported by certifications like PMP or specialized AI courses. Gaining hands-on experience through projects or roles in AI development is essential for advancing to management positions.

What is the role of an AI manager?

An AI manager oversees the development, implementation, and maintenance of artificial intelligence projects within an organization. They coordinate teams of data scientists and engineers, set project goals, and ensure AI solutions align with business objectives, often requiring knowledge of machine learning tools and programming languages. Their role involves managing timelines, budgets, and stakeholder communication to deliver effective AI systems.

What does an AI manager do?

An AI Manager oversees the development, implementation, and optimization of artificial intelligence solutions within an organization. They lead AI teams, manage projects, and ensure alignment with business goals while addressing technical and ethical concerns. AI Managers collaborate with data scientists, engineers, and executives to drive innovation and improve operational efficiency. They also stay updated on industry trends and advancements to leverage AI effectively.

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

To thrive as an AI Manager, you need a strong background in computer science, machine learning, project management, and proven experience leading AI initiatives, often supported by a relevant degree or industry certifications. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, cloud platforms, and knowledge of data governance and MLOps is commonly required. Excellent leadership, problem-solving, and communication skills help AI Managers effectively coordinate cross-functional teams and translate business objectives into actionable AI solutions. These competencies are essential for successfully driving AI projects from conception to deployment while aligning with organizational goals.

How much does an AI manager make?

An AI manager's salary typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often supplemented with bonuses and stock options.

What types of teams or departments does an AI manager typically collaborate with?

AI Managers work closely with data scientists, software engineers, product managers, and business stakeholders to ensure AI projects align with company objectives. They often coordinate with IT teams for infrastructure requirements, as well as legal and compliance teams regarding data privacy and ethical AI practices. Close collaboration with these groups helps deliver robust and scalable AI solutions, fostering a multidisciplinary approach that enhances project success. By acting as a bridge between technical and non-technical teams, AI Managers ensure that business needs are clearly understood and translated into effective AI strategies.

What are the most commonly searched types of Ai jobs in Quebec? The most popular types of Ai jobs in Quebec are:
What job categories do people searching Ai Manager jobs in Quebec look for? The top searched job categories for Ai Manager jobs in Quebec are:
What cities in Quebec are hiring for Ai Manager jobs? Cities in Quebec with the most Ai Manager job openings:
Infographic showing various Ai Manager job openings in Quebec as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

AI Application Developer

Quadbridge

Montreal, QC

Full-time

Posted 19 days ago


Job description

AI Application Developer

Who We Are:

Quadbridge is a fast-growing North American IT solutions provider, empowering businesses to navigate complex challenges daily, through strong partnerships with leading technology providers and close collaboration with our team and customers. With locations in Kitchener, Montreal and Vancouver, we strive to create an energetic, fun workplace where ambitious, like-minded teammates collaborate, innovate, and thrive as we continue to grow our national footprint.

We are Quadbridge. See how we're building tomorrow's solutions, together.

Role Overview

Reporting to the Director, Enterprise Architecture & AI, the primary duties and responsibilities of the AI Application Developer is to specialize in leveraging the Microsoft AI ecosystem to design, build, and integrate AI-powered solutions that enhance customer experience, operational efficiency, and enterprise workflows. You will work throughout the AI application lifecycle—from ideation and prototyping to production deployment—collaborating with cross-functional teams and business stakeholders.

Key Responsibilities:

Duties and responsibilities include, but are not limited to, the following:

  • Develop, test, and deploy functional automation and AI solutions (e.g., Generative AI, semi-autonomous agents and agentic AI) using platforms such as Microsoft Foundry, Copilot Studio, and other tools.
  • Design prompt flows, orchestrations, and grounding strategies.
  • Build and maintain integrations, APIs, and automation scripts to support AI/ML solutions.
  • Connect AI applications to enterprise systems via connectors, APIs, MCP servers, and Microsoft Cloud components.
  • Leverage Azure services (e.g., Azure AI, Azure Functions, Azure OpenAI) to build scalable, secure architectures.
  • Structure content and datasets to optimize retrieval, grounding, and AI accuracy.
  • Collaborate with architects and stakeholders to translate business requirements into working AI solutions.
  • Conduct testing, document solutions, and monitor, troubleshoot, and optimize deployed agents for performance, reliability, and continuous improvement.
  • Collaborate with business stakeholders, support adoption, and participate in change management.
  • Stay current on emerging AI/ML techniques and Microsoft's AI tooling ecosystem.
Qualifications:
  • Proficiency in Python, with experience building and integrating AI-driven applications
  • Hands-on familiarity with general AI and generative AI concepts and capabilities
  • Experience with Microsoft Foundry and/or Copilot Studio, or strong ability to ramp quickly
  • Working knowledge of Azure services (e.g., Azure AI, Azure Functions, Azure OpenAI)
  • Experience building, deploying, and managing AI agents in production environments
  • Strong problem-solving skills and ability to work independently on ambiguous problems
  • Clear communicator, comfortable working cross-functionally with technical and business teams
Nice-to-have:
  • Familiarity with prompt engineering and LLM orchestration frameworks
  • Background in enterprise architecture or cloud solution design
  • Experience with additional Microsoft Cloud AI tools (e.g., Azure AI Studio, Semantic Kernel)
Education & Certifications:
  • Diploma or degree in Information Technology, Computer Science, or related field
  • Relevant certifications (e.g., Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Power Platform Solution Architect Expert)
Why Quadbridge:

• Invest in Your Future – Benefit from our RRSP program to help you plan ahead
• Grow With Us –
Take advantage of ongoing professional training and development opportunities.
• Comprehensive Coverage –
A complete health, dental, life, STD and LTD insurance plan
• Top-Tier Equipment –
We provide everything you need to do your best work.
• A Vibrant Workplace –
Join us for monthly social and team building events.
• Bring Your Best Friend – Our offices are pet-friendly!

Quadbridge is an equal opportunity employer, committed to diversity and inclusion in compliance with the Canadian Human Rights Act and Employment Equity Act. If you require accommodations under the applicable Canadian laws during the interview process, please inform us, and we will ensure your needs are met

Work Schedule:

Monday to Friday, 8:30 a.m. to 5 p.m.
Full-time, permanent, Hybrid

Language Requirement:

This role requires professional proficiency in English to support collaboration with employees, distributors and customers outside of Quebec.

Application Deadline: Applications reviewed on a rolling basis.

This posting is for an existing vacancy.

Ce poste est également affiché en français.