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Azure Ai Jobs in Quebec (NOW HIRING)

Quadbridge

AI Application Developer

Montreal, QC · On-site

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.

Quadbridge

AI Application Developer

Montreal, QC

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.

Jay Analytix

AI Engineer - Banking Domain

Montreal, QC · On-site

OpenAI, Azure OpenAI, LangChain, RAG architectures. * Cloud proficiency: Azure (preferred), AWS, or GCP. * Knowledge of OSFI E-23 model governance, PIPEDA, and explainable AI for audits. * Experience ...

KPMG

Relevant Microsoft, Azure, Power Platform, or AI certifications are considered an asset This position requires written and oral fluency in English. The successful candidate will be required to ...

KPMG

Relevant Microsoft, Azure, Power Platform, or AI certifications are considered an asset This position requires written and oral fluency in English. The successful candidate will be required to ...

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All JobsAzure Ai JobsAzure Ai Jobs in Quebec

Azure Ai information

See Quebec salary details

$31.5K

$134.6K

$202K

How much do azure ai jobs pay per year?

As of Aug 4, 2026, the average yearly pay for azure ai in Quebec is $134,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $159,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Azure AI position?

To thrive in an Azure AI role, you need expertise in cloud computing, machine learning, and data engineering, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure AI platform tools such as Azure Machine Learning, Cognitive Services, and relevant certifications like Microsoft Certified: Azure AI Engineer Associate is highly valuable. Strong problem-solving skills, collaboration, and effective communication make candidates stand out. These abilities are essential for delivering scalable AI solutions, integrating with business needs, and achieving successful project outcomes in fast-evolving cloud environments.

What is an Azure AI?

An Azure AI job typically involves working with Microsoft's Azure AI services to build, deploy, and manage artificial intelligence and machine learning solutions. Professionals in this role may work with tools like Azure Machine Learning, Cognitive Services, and AI-powered analytics to develop intelligent applications. Responsibilities often include data preprocessing, model training, integration with cloud services, and optimizing AI workflows for scalability and performance. This job is ideal for individuals with expertise in AI, cloud computing, and programming languages like Python or R.

Is Azure AI in demand?

Azure AI is in high demand as organizations increasingly adopt cloud-based artificial intelligence solutions. Professionals with skills in Azure AI services, machine learning, and cloud computing are sought after across various industries, often requiring certifications like Azure AI Engineer Associate.

What jobs can I get with Azure AI certification?

Azure AI certification can qualify you for roles such as AI Engineer, Machine Learning Engineer, Data Scientist, and Cloud Solutions Architect. These positions involve developing, deploying, and managing AI and machine learning solutions using Azure services and tools. Strong programming skills and knowledge of cloud environments are typically required.

What does an Azure AI do?

As an Azure AI professional, your daily responsibilities often include designing and deploying AI models on Azure, integrating machine learning pipelines, and managing large-scale data processing tasks. You'll collaborate closely with data scientists, cloud architects, and business stakeholders to interpret project requirements and implement technical solutions. Regular activities may also involve automating workflows, monitoring model performance, and troubleshooting issues within the Azure cloud environment. This collaborative and dynamic work environment provides continuous learning opportunities and exposure to the latest advancements in AI and cloud technologies.

What job categories do people searching Azure Ai jobs in Quebec look for? The top searched job categories for Azure Ai jobs in Quebec are:
Azure Ai jobs near you
Infographic showing various Azure Ai job openings in Quebec as of July 2026, with employment types broken down into 71% Full Time, 20% Part Time, and 9% Contract. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution, with an average salary of $134,636 per year, or $64.7 per hour.

AI Application Developer

Quadbridge

Montreal, QC • On-site

Full-time

Posted 14 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.