Generative AI Platform Engineer CN

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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