Shape CN’s enterprise AI platforms with Vertex AI, Gemini Enterprise, Databricks, and production-focused engineering in a hybrid work model.
This AI engineering position delivers secure, governed, and scalable AI applications across CN’s data, analytics, automation, and agentic capabilities. You will work with cloud AI and data platforms, machine learning, generative AI, and software engineering practices. Collaboration spans architects, platform engineers, data specialists, cybersecurity, governance, business partners, and vendors.
Key Responsibilities: Contribute to Databricks, Vertex AI, Gemini Enterprise, and related platforms
Develop data pipelines, interfaces, and services for AI applications
Optimize integrations across enterprise workflows and operational processes
Support deployment, monitoring, troubleshooting,



and quality evaluation
Document designs, limitations, decisions, and operational requirements
Requirements: Two to five years in software, data, machine learning, or AI engineering
Experience with Google Cloud Platform or comparable AI platforms
Knowledge of Spark, PySpark, Delta Lake, Unity Catalog, or MLflow
Experience with observability, red-teaming, safety, and hallucination mitigation
Degree in computer science, engineering, data science, or related field
Bring cloud AI platforms, data engineering, and production operations experience to CN’s enterprise artificial intelligence delivery.

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📌 Generative AI Platform Engineer CN (Quebec City)
🏢 Canadian National
📍 Quebec City