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Azure Ai Engineer Jobs in Quebec (NOW HIRING)

AI Application Developer

Montreal, QC · On-site

  • Medical

  • Dental

  • Life

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 ...

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 ...

Mentor junior developers through technical leadership, code reviews, and knowledge sharing ... Experience with Azure AI Foundry and the Azure ecosystem, including Azure AI Search, Azure ...

AI Specialist

Laval, QC · On-site

  • Medical

  • Dental

  • Vision

  • Life

... Azure AI) and enterprise data platforms. Working within established governance controls, the AI ... Collaborate with data engineering, data science, architecture, security, and platform teams to ...

Collaboration About the Role We are looking for a Generative AI Engineer to develop our next ... Experience with cloud platforms like AWS, GCP, or Azure * Excellent problem-solving skills ...

Applied AI Engineer

Montreal, QC · On-site

  • Medical

  • Vision

The position We're looking for an Applied AI Engineer to take our growing collection of foundation ... Experience with a cloud ML training/MLOps platform (GCP Vertex AI, AWS SageMaker, Azure ML, or ...

Applied AI Engineer

Montreal, QC · On-site

  • Medical

  • Vision

The position We're looking for an Applied AI Engineer to take our growing collection of foundation ... Experience with a cloud ML training/MLOps platform (GCP Vertex AI, AWS SageMaker, Azure ML, or ...

Senior Applied AI Engineer

Montreal, QC · On-site +1

  • Retirement

  • PTO

It's hands-on and high-agency, blending AI engineering with real product sense and close ... Comfortable across cloud platforms - we run primarily on Azure (Databricks, AKS) and Google Cloud ...

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Showing results 1-20

Azure Ai Engineer information

What are the typical daily responsibilities of an Azure AI Engineer?

An Azure AI Engineer typically spends their day designing, building, and deploying AI and machine learning models using Azure's suite of cloud-based tools. Tasks often include data preprocessing, model training and evaluation, integrating AI solutions with existing applications, and optimizing system performance for reliability and scalability. Collaboration is common, with frequent interactions with data scientists, developers, and IT specialists to ensure seamless implementation of AI solutions. This role also involves staying updated with the latest Azure features and industry trends to deliver cutting-edge, efficient solutions for business challenges.

Is Azure AI in demand?

Azure AI engineers are in high demand as organizations increasingly adopt cloud-based AI solutions and require expertise in Azure's AI services, machine learning, and data management. The role often requires knowledge of Azure tools, programming skills, and certifications, making it a valuable and sought-after position in the tech industry.

How much do Azure AI engineers make?

Azure AI engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in machine learning and cloud architecture can earn higher salaries. Compensation often includes benefits such as health insurance and professional development opportunities.

What are the key skills and qualifications needed to thrive in the Azure AI Engineer position, and why are they important?

To thrive as an Azure AI Engineer, you need a strong foundation in artificial intelligence, machine learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency in Microsoft Azure services (such as Azure Machine Learning, Cognitive Services, and Databricks), along with certifications like Microsoft Certified: Azure AI Engineer Associate, is highly valued. Effective problem-solving, teamwork, and strong communication skills help Azure AI Engineers work efficiently in cross-functional teams. These abilities are essential to deliver scalable AI solutions that align with business objectives and industry best practices.

What is an Azure AI Engineer?

An Azure AI Engineer is responsible for designing, developing, and deploying AI solutions using Microsoft Azure services. They work with AI models, machine learning, and cognitive services to build intelligent applications. Their role includes data preprocessing, model training, optimization, and integration with cloud-based systems. Azure AI Engineers collaborate with data scientists and developers to enhance AI-driven solutions for business needs. Proficiency in Azure Machine Learning, AI services, and programming languages like Python is essential for the role.

What are the most commonly searched types of Azure Ai Engineer jobs in Quebec? The most popular types of Azure Ai Engineer jobs in Quebec are:
What are popular job titles related to Azure Ai Engineer jobs in Quebec? For Azure Ai Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Azure Ai Engineer jobs in Quebec look for? The top searched job categories for Azure Ai Engineer jobs in Quebec are:
Infographic showing various Azure Ai Engineer job openings in Quebec as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution.

AI Application Developer

Quadbridge

Montreal, QC • On-site

Full-time

Medical, Dental, Life

Posted 22 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 egalement affiche en francais.