Job Summary We are seeking a highly skilled AI Architect to lead the hands-on design, development, and implementationof 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 productive 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, Big

Query, 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.

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

📌 Expert Solution Architect Montreal
🏢 CN
📍 Montreal