Forward Deployed Technical Consultant -Databricks
Mississauga, ONUrban Ridge Supplies
3+ YOECandidates need a bachelor's degree or college program completion, 3 years on Databricks and big data projects, and 1 year shipping agentic AI to production. They also need 5 years in Python or Java and 2 years of production CI/CD and MLOps experience. English is required.
Databricks, Mosaic AI, Vector Search, Model Serving, MLflow, Unity Catalog
AI Platform Engineering Lead
Toronto, ONUrban Ridge Supplies
7+ YOECandidates need a bachelor's degree in a technical field, at least 7 years in software, platform, data or solution architecture, and at least 3 years building generative AI, agentic or machine learning solutions. Required skills include Azure, Databricks, Copilot Studio, Claude APIs, CI/CD with infrastructure as code, advanced Python, and retrieval-augmented generation.
Azure AI Foundry, Databricks, Microsoft Copilot Studio, Anthropic Claude, Microsoft Agent 365, Azure DevOps
Middle/Senior Forward Deployed Engineer (Python, AI)
Toronto, ONUrban Ridge Supplies
Candidates need advanced Python and SQL skills, plus hands-on experience running LLM-based or agentic systems in production. Client-facing delivery experience and the ability to explain technical work to executives and engineers are also required.
Docker, Kubernetes, OpenAI Agents SDK, Claude SDK, Model Context Protocol servers
AI Engineer
Guelph, ONUrban Ridge Supplies
4+ YOEGEI needs 4+ years of software engineering experience, including at least 1 year building generative AI applications. Candidates should know LLMs, Azure, a language such as Python or SQL, and big data tools like Spark or Databricks.
Copilot Studio, Azure Functions, Power BI, Databricks, Azure Data Factory, Azure Synapse
AI Engineer
Kitchener, ONUrban Ridge Supplies
4+ YOEGEI needs candidates with 4+ years of software engineering experience, at least one year building Generative AI applications, and strong Python or SQL skills. Experience with Azure AI services and big data tools like Spark and Databricks is expected.
Copilot Studio, Azure Functions, Power BI, Databricks, Spark, TensorFlow
Forward Deployed Engineer
Mississauga, ONUrban Ridge Supplies
8+ YOECandidates need 8+ years of enterprise software and full-stack experience, including React, Node.js, TypeScript, Python, Snowflake and Databricks. Experience building AI-enabled prototypes, and communicating with executives and subject matter experts, is required.
Snowflake, Databricks, React, Node.js, TypeScript, Python
Lead Full-Stack GenAI Engineer
Toronto, ONUrban Ridge Supplies
8+ YOECandidates need at least 8 years of software or AI delivery experience, recent hands-on work with production GenAI or agentic systems, and strong Python, React and TypeScript skills. Azure cloud experience, DevOps practice and a bachelor's degree or equivalent experience are also expected.
Azure OpenAI, Azure AI Search, Microsoft Foundry, Databricks, MLflow, Unity Catalog
Lead, AI/Machine Learning Engineer
Toronto, ONUrban Ridge Supplies
3+ YOECandidates need 3+ years of software engineering experience, including 2+ years building production AI/ML or generative AI solutions. They need hands-on experience with LLMs, RAG, classical ML and deep learning, MLOps, and Azure cloud, plus strong SQL and clear communication with non-technical stakeholders.
Azure AI Foundry, Azure OpenAI, Copilot Studio, MLflow, Kubeflow, Databricks
Forward Deployed Engineering, US Oncology
Mississauga, ONUrban Ridge Supplies
8+ YOECandidates need 8+ years of enterprise software delivery, hands-on full-stack and data engineering skills, and experience prototyping AI solutions. Strong stakeholder communication and the ability to work independently on complex initiatives are also required.
Snowflake, Databricks, React, Node.js, TypeScript, Python
Senior Forward Deployed Engineer
Toronto, ONUrban Ridge Supplies
8+ YOEUrban Ridge Supplies needs candidates with 8+ years in software, data, platform or AI engineering, including 3+ years building LLM applications and 5+ years with Kubernetes in production. Strong cloud, data engineering and programming skills, plus clear customer-facing communication, are required.
Kubernetes, Spark, Airflow, Databricks, Snowflake, AWS