Expert Solution Architect

Canadian National Railway Company • Montreal, QC

3d

About The Position

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.

Requirements

• Must have at least 5+ years of experience within the field Solution and or system architecture.

Responsibilities

• 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.
• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed