Expert Solution Architect

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    "city": "Montreal",
    "region": "QC",
    "country": "Canada",
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  "locations": [
    {
      "city": "Montreal",
      "state": "Quebec",
      "country": "CA"
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  "requisitionId": 17042,
  "displayJobTitle": "Expert Solution Architect",
  "externalDescription": " Expert Solution Architect At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us! Job Summary We are seeking a highly skilled AI Architect to lead the hands-on design, development, and implementation of our data and AI platforms on Google Cloud Platform (GCP) and Databricks. This is a practical, hands-on role requiring you to not only architect solutions but also to actively build, test, and deploy them. The ideal candidate will be a thinker with deep, demonstrable technical expertise in building and scaling end-to-end AI solutions, including Conversational AI and Agentic AI systems. You will play a critical, hands-on role in executing our data strategy, driving innovation, and enabling data-driven decision-making across the organization. Responsibilities Architecture Design: Contribute to the hands-on design of our end-to-end Databricks Lakehouse platform, from data ingestion and processing to consumption and governance. Architect and design AI solutions built on Databricks and/or GCP Vertex AI, Gemini, etc. Design and prototype advanced AI systems, including conversational AI (chatbots, voice assistants) and autonomous agentic AI frameworks. Actively integrate traditional ML and cutting-edge Generative AI models into our data ecosystem using MLflow and other MLOps best practices. Engineering Implementation: Build, test, and deploy conversational AI and agentic AI solutions, leveraging large language models (LLMs) and frameworks like Google's Vertex AI and open-source alternatives within the Databricks Platform. Personally build and deploy real-time streaming solutions using Structured Streaming to enable timely insights for AI models. Contribute to optimize initiatives of data and AI pipelines for performance, cost, and scalability, ensuring the efficient use of our cloud resources. Cloud Platform Expertise: Hands-on expert on both GCP and Databricks, providing practical guidance on best practices, security, and governance. Design and implement solutions that leverage the best of both platforms, including hands-on work with services like Databricks, Google Cloud Storage, BigQuery, and Vertex AI (including the Gemini family of models). Take direct responsibility for implementing robust access controls, encryption, and other security measures to ensure the security and compliance of our data platform. Continuously monitor, troubleshoot, and optimize our platform for cost and performance. About CN CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results. ",
  "postingEffectiveDate": "6/4/2026",
  "postingExpirationDate": "6/15/2026"
}