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Solution Architecture Advisor; CAS

Job in Montreal, Montréal, Province de Québec, G4F, Canada
Listing for: COFOMO
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Azure, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Position: Solution Architecture Advisor (CAS)
Location: Montreal

Here’s a brief overview of the tasks and responsibilities you’ll have
Integrate, harmonize, and orchestrate data and artificial intelligence architectures within Azure and Databricks platforms;
Design artificial intelligence architectures using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, and Azure Data ecosystem services;
Ensure integration between Azure and Databricks, including Delta Lake, MLflow, and data governance;
Support business sectors in understanding, defining and prioritizing use cases in artificial intelligence;
Advise stakeholders on MLOps analytical approaches, models, pipelines, and best practices;
Ensure consistency, security, performance, and scalability of deployed solutions.
The profile you are looking for is as follows:
Have a minimum of eight (8) years of relevant experience, including five years in solution architecture;
Have a strong background in architecting and integrating artificial intelligence and machine learning solutions into Azure;
Master Azure Machine Learning, Azure AI Foundry, Azure OpenAI, Databricks and their integrations;
Knowledge of data science concepts as well as advanced machine learning and deep learning models;
Demonstrate an ability to popularize information, influence and collaborate with technology and business teams;
Demonstrate leadership, vision and great rigor in architecture;
Know the Archimate formalism as well as the Casewise, Confluence, Power BI and Office 365 tools;
Demonstrate expertise in communication and writing intended for an executive level and in a context of influence;
Experience working with multiple stakeholders, including large-scale projects;
Evolve effectively in contexts of uncertainty and ambiguity;
Master interpersonal skills, learn with agility, drive innovation, be customer-oriented, and be results-oriented.
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