AI Application Developer
HybridMontréal, Quebec, Canada
Job Summary
Develop, test, and deploy functional automation and AI solutions using platforms such as Microsoft Foundry, Copilot Studio, and other tools. Design prompt flows, orchestrations, and grounding strategies while building integrations, APIs, and automation scripts to support AI/ML solutions. Connect applications to enterprise systems via connectors, APIs, MCP servers, and Microsoft Cloud components, leveraging Azure services to create scalable, secure architectures. Structure content and datasets to optimize retrieval and AI accuracy, then collaborate with stakeholders to translate business requirements into working solutions. Conduct testing, document results, and monitor deployed agents for performance and continuous improvement. This full-time, permanent hybrid role requires professional English proficiency and reports to the Director, Enterprise Architecture & AI.
Required Qualifications
- Proficiency in Python, with experience building and integrating AI-driven applications
- Hands-on familiarity with general AI and generative AI concepts and capabilities
- Experience with Microsoft Foundry and/or Copilot Studio, or strong ability to ramp quickly
- Working knowledge of Azure services (e.g., Azure AI, Azure Functions, Azure OpenAI)
- Experience building, deploying, and managing AI agents in production environments
- Strong problem-solving skills and ability to work independently on ambiguous problems
- Clear communicator, comfortable working cross-functionally with technical and business teams
- Diploma or degree in Information Technology, Computer Science, or related field
- Relevant certifications (e.g., Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Power Platform Solution Architect Expert)
- Professional proficiency in English
Desired Qualifications
- Familiarity with prompt engineering and LLM orchestration frameworks
- Background in enterprise architecture or cloud solution design
- Experience with additional Microsoft Cloud AI tools (e.g., Azure AI Studio, Semantic Kernel)
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