Build secure Generative AI solutions in Markham with Python, Azure, and pretrained models supporting GEI’s digital initiatives. Integrate AI into business workflows.
As an AI Engineer, you will develop, deploy, and integrate AI capabilities using Large Language Models, Copilot technologies, Azure Functions, and enterprise data sources. You will support active AI Solutions Factory use cases, working with solution architects and platform teams to deliver production-ready systems aligned with GEI standards.
Key Responsibilities: Build and deploy AI solutions using pretrained models and Copilot technologies
Design prompt flows, plugins, and orchestrations with Copilot Studio
Integrate APIs, Graph connectors, RAG, and event-driven patterns securely




Optimize Power BI dashboards supporting AI-enabled workflows and insights
Monitor reliability, performance, telemetry, and solution costs
Requirements: 4+ years of software engineering experience
At least 1 year building Generative AI applications
Proficiency in Python, PySpark, R, or SQL
Experience delivering Generative AI solutions, preferably on Azure
Knowledge of Azure services, Spark, Databricks, and responsible AI
Apply AI engineering, Azure integration, and secure data practices to production-ready solutions supporting GEI’s digital priorities.

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📌 Generative AI Engineer Markham (Ontario)
🏢 GEI Consultants
📍 Ontario