Build secure AI solutions with Python and LLM APIs at BlackBerry, connecting business teams with Azure and AWS platforms. This regular role delivers cloud deployments. As an AI Engineering Specialist, you will embed with Finance, Sales, Legal, HR, Operations, and Engineering support. You will identify valuable use cases, prototype agents and copilots, and create reusable patterns. The work combines business discovery, software delivery, cloud operations, and enablement for less-technical users. Key Responsibilities:
Map business processes, pain points, and AI opportunities Prototype solutions using Python and LLM APIs Build agents with Copilot Studio and Azure AI Foundry Deploy agents across Azure and AWS environments Implement RAG using enterprise content and vector search Requirements:
Four or more years in software, AI, data engineering, or consulting Strong Python and agentic or RAG workflow experience Azure or AWS deployment experience with containers or serverless patterns Ability to explain complex topics to non-technical audiences Experience delivering working solutions, not only prototypes Apply AI engineering, cloud deployment, and business translation skills to secure BlackBerry solutions across Azure and AWS environments.
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AI Solutions Engineer Azure AWS in Toronto employer: BlackBerry
At QNX, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Quality Manager, you'll not only have the opportunity to lead critical quality assurance initiatives in cutting-edge embedded software systems but also benefit from ongoing professional development and a commitment to maintaining world-class quality standards. Located in a vibrant tech hub, our team enjoys a dynamic environment that encourages growth, creativity, and meaningful contributions across diverse industries such as automotive and medical.
