Generative AI Engineer Markham

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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