Build secure AI solutions with Python and LLM APIs at Black Berry, 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
Solid 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 Black Berry solutions across Azure and AWS environments.

📌 Ai Solutions Engineer Azure Aws (Toronto)
🏢 BlackBerry
📍 Toronto