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Azure Ai Engineer Jobs in Quebec (NOW HIRING)

Holds a relevant university degree in computer science, software engineering, data science ... Experience with cloud platforms and enterprise AI services such as Azure AI, Azure OpenAI, Google ...

Junior Machine Learning Engineer

Montreal, QC · On-site

CA$80K - CA$95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support cloud-based AI and ML development using platforms such as Azure, Google Cloud Platform (GCP ... Knowledge of software engineering practices such as version control, testing, CI/CD, and ...

... domains with the goal of creating an "AI Ready" environment; * Ensure consistency and ... Oversee technological choices and implementation patterns for data engineering teams (partitioning ...

Design and evolve a modern Azure data platform using Azure Synapse Analytics, Synapse Spark, Azure ... Hands-on experience building or configuring AI agents and automated workflows As an equal ...

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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.

Gestionnaire principal(e), IA, Innovation et Operations / Sr. Manager, AI, Innovation & Operation

McKesson

Montreal, QC • On-site

Full-time

Posted 6 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

ENGLISH DESCRIPTION FOLLOWS

A propos du poste

McKesson est a la recherche d'un(e)Gestionnaire principal(e), IA, Innovation et Operations pour diriger une fonction analytique a fort impact axee sur les donnees d'entreprise, l'apprentissage automatique, l'IA generative et les analyses strategiques destinees aux dirigeants. Dans ce role, vous definirez la strategie analytique, dirigerez des gestionnaires et des equipes, et mettrez en uvre des solutions evolutives qui ameliorent la prise de decision, la performance operationnelle et les resultats d'affaires.

Ce poste convient parfaitement a un(e) leader pratique en donnees et en intelligence artificielle possedant une experience couvrant l'ensemble du cycle de vie de l'apprentissage automatique, les plateformes modernes de donnees infonuagiques et la gouvernance responsable de l'IA. Vous travaillerez en partenariat avec les equipes d'affaires, de technologie et les dirigeants afin d'orienter les feuilles de route analytiques, de renforcer les pratiques de gestion des donnees et d'accelerer l'adoption de l'analytique avancee, de l'IA et de l'automatisation au sein de l'organisation.

Ce que vous ferez

  • Diriger l'elaboration et l'execution de la strategie en analytique, intelligence artificielle et donnees, alignee sur les priorites de l'entreprise.
  • Gerer des leaders et des equipes en analytique responsables de la prevision, des analyses de performance, des modeles d'apprentissage automatique et des tableaux de bord destines aux dirigeants.
  • Superviser la livraison de bout en bout d'initiatives complexes et multidisciplinaires en science des donnees, analytique et intelligence artificielle.
  • Favoriser l'adoption de plateformes modernes de donnees et d'IA, notamment Azure AI Foundry, Snowflake, Databricks et d'autres technologies infonuagiques connexes.
  • Accompagner les equipes tout au long du cycle de vie des modeles d'apprentissage automatique, incluant l'exploration des donnees, l'ingenierie des caracteristiques, le developpement, le deploiement, la surveillance et l'amelioration des modeles.
  • Mettre en place des pratiques de gouvernance liees a la qualite des donnees, a la gestion des risques des modeles, a l'IA responsable, a la conformite reglementaire, au DevOps et aux controles operationnels.
  • Collaborer avec les leaders d'affaires et technologiques afin de prioriser les investissements, optimiser les outils et faire evoluer les capacites analytiques.
  • Developper une culture inclusive et performante grace au coaching, au developpement des talents, a la collaboration et a la gestion du changement.

Exigences de base

  • Plus de 9 annees d'experience en analytique, science des donnees, apprentissage automatique, intelligence artificielle, intelligence d'affaires ou dans un domaine connexe, incluant de l'experience en gestion ou en leadership d'equipes.
  • Baccalaureat en informatique, science des donnees, genie, statistique, analytique, systemes d'information ou experience equivalente.
  • Experience pratique avec des ecosystemes modernes de donnees et d'IA, incluant les plateformes infonuagiques, l'ingenierie des donnees, les solutions analytiques et les outils d'IA/AA.
  • Experience dans la gestion d'equipes couvrant l'ensemble du cycle de vie de l'apprentissage automatique, de la definition des cas d'utilisation jusqu'au deploiement et a la surveillance en production.
  • Experience avec au moins une plateforme majeure de donnees ou d'intelligence artificielle d'entreprise, telle qu'Azure AI Foundry, Snowflake, Databricks, Azure Machine Learning ou des technologies similaires.
  • Experience demontree dans la direction d'initiatives complexes en analytique, intelligence artificielle, plateformes de donnees ou production de rapports a l'echelle de l'entreprise.
  • Excellentes competences en communication et capacite a transformer des concepts techniques en recommandations strategiques destinees a la haute direction.
  • Experience dans la mise en place ou l'exploitation de pratiques de gouvernance des donnees, de gouvernance des modeles, de DevOps ou de conformite.

Competences et experience souhaitees

  • Experience avec les architectures d'IA generative, les grands modeles de langage (LLM), la generation augmentee par recuperation (RAG), l'ingenierie des requetes ( prompt engineering ) ou la conception de solutions d'IA.
  • Experience dans la direction de programmes d'IA et d'apprentissage automatique dans des environnements reglementes, du secteur de la sante, de la chaine d'approvisionnement, de la distribution ou des technologies d'entreprise.
  • Connaissance des pratiques MLOps, CI/CD, surveillance des modeles, observabilite des donnees et modeles operationnels d'IA en production.
  • Experience dans la gestion de budgets, des relations avec les fournisseurs, des investissements technologiques ou des feuilles de route de plateformes analytiques.
  • Experience dans la creation de tableaux de bord executifs et de produits analytiques a l'aide d'outils tels que Power BI, Tableau ou des plateformes similaires.
  • Capacite d'influencer des parties prenantes multidisciplinaires et de favoriser l'adoption de nouvelles pratiques en analytique, intelligence artificielle et gouvernance.
  • Engagement demontre envers le leadership inclusif, le coaching et le developpement des talents.

Deplacements / Environnement de travail / Exigences physiques

  • Le modele de travail peut etre a distance, hybride ou en presentiel, selon les besoins de l'entreprise et de l'equipe.
  • Des deplacements occasionnels peuvent etre requis pour participer a des rencontres d'equipe, avec les parties prenantes ou liees aux activites de l'entreprise.
  • Le role exige une utilisation reguliere d'un ordinateur et d'outils de collaboration pendant de longues periodes.

Le.la titulaire de ce poste aura a soutenir de facon quotidienne des clients internes et/ou externes a l'exterieur du Quebec et/ou aux Etats-Unis. Par consequent, ce poste requiert une maitrise de l'anglais a l'ecrit et a l'oral. Veuillez noter que le nombre de postes dont les taches requierent une connaissance de la langue anglaise a ete restreint dans la mesure du possible.

Work Arrangement: This is a hybrid position requiring candidates to work on-site at least 2 days per week at our office in Mississauga.

About the Role

McKesson is seeking a Senior Manager, AI , Innovation & Operation to lead a high-impact analytics function focused on enterprise data, machine learning, generative AI, and executive-ready business insights. In this role, you will set analytics strategy, guide managers and teams, and deliver scalable solutions that improve decision-making, operational performance, and business outcomes.

This role is ideal for a hands-on data and AI leader with experience across the full machine learning lifecycle, modern cloud data platforms, and responsible AI governance. You will partner with business, technology, and executive stakeholders to shape analytics roadmaps, strengthen data practices, and accelerate adoption of advanced analytics, AI, and automation across the organization.

What You'll Do
  • Lead development and execution of analytics, AI, and data strategy aligned to enterprise priorities.

  • Manage analytics leaders and teams delivering forecasting, performance insights, machine learning models, and executive dashboards.

  • Oversee end-to-end delivery of complex, cross-functional data science, analytics, and AI initiatives.

  • Drive adoption of modern data and AI platforms, including Azure AI Foundry, Snowflake, Databricks, and related cloud technologies.

  • Guide teams through the full ML lifecycle, including exploration, feature engineering, model development, deployment, monitoring, and improvement.

  • Establish governance practices for data quality, model risk, responsible AI, regulatory compliance, DevOps, and operational controls.

  • Partner with business and technology leaders to prioritize investments, optimize tools, and mature analytics capabilities.

  • Build an inclusive, high-performing team culture through coaching, talent development, collaboration, and change leadership.

Basic Requirements
  • 9+ years of experience in analytics, data science, machine learning, AI, business intelligence, or a related field, including people leadership or management experience.

  • Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Analytics, Information Systems, or equivalent experience.

  • Hands-on experience with modern data and AI stacks, including cloud platforms, data engineering, analytics, and AI/ML tools.

  • Experience leading teams through the full machine learning lifecycle from use case definition through production deployment and monitoring.

  • Experience with at least one major enterprise data or AI platform such as Azure AI Foundry, Snowflake, Databricks, Azure ML, or similar technologies.

  • Demonstrated experience leading complex analytics, AI, data platform, or enterprise reporting initiatives.

  • Strong communication skills with experience translating technical insights into executive-level recommendations.

  • Experience establishing or operating data governance, model governance, DevOps, or compliance practices.

Preferred Skills/Experience
  • Experience with generative AI architectures, large language models, retrieval-augmented generation, prompt engineering, or AI solution design.

  • Experience leading AI/ML programs in regulated, healthcare, supply chain, distribution, or enterprise technology environments.

  • Familiarity with MLOps, CI/CD, model monitoring, data observability, and production AI operating models.

  • Experience managing budgets, vendor relationships, technology investments, or analytics platform roadmaps.

  • Experience building executive dashboards and analytics products using tools such as Power BI, Tableau, or similar platforms.

  • Ability to influence cross-functional stakeholders and drive adoption of new analytics, AI, and governance practices.

  • Demonstrated commitment to inclusive leadership, coaching, and talent development.

Travel / Work Environment / Physical Requirements
  • Work model may be remote, hybrid, or office-based depending on business and team needs.

  • Occasional travel may be required for team, stakeholder, or business meetings.

  • Role requires regular use of a computer and collaboration tools for extended periods

The incumbent of this position will provide daily support to internal and/or external clients outside Quebec and/or in the United States. Therefore, he/she must be proficient in spoken and written English. Please note that the number of positions requiring English language skills has been limited where possible.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!


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