AI Application DeveloperRole OverviewReporting to the Director, Enterprise Architecture & AI, the primary duties and responsibilities of the AI Application Developer is to specialize in leveraging the Microsoft AI ecosystem to design, build, and integrate AI-powered solutions that enhance customer experience, operational efficiency, and enterprise workflows. You will work throughout the AI application lifecycle-from ideation and prototyping to production deployment-collaborating with cross-functional teams and business stakeholders.
Key Responsibilities:Duties and responsibilities include, but are not limited to, the following:
- Develop, test, and deploy functional automation and AI solutions (e.g., Generative AI, semi-autonomous agents and agentic AI) using platforms such as Microsoft Foundry, Copilot Studio, and other tools.
- Design prompt flows, orchestrations, and grounding strategies.
- Build and maintain integrations, APIs, and automation scripts to support AI/ML solutions.
- Connect AI applications to enterprise systems via connectors, APIs, MCP servers, and Microsoft Cloud components.
- Leverage Azure services (e.g., Azure AI, Azure Functions, Azure OpenAI) to build scalable, secure architectures.
- Structure content and datasets to optimize retrieval, grounding, and AI accuracy.
- Collaborate with architects and stakeholders to translate business requirements into working AI solutions.
- Conduct testing, document solutions, and monitor, troubleshoot, and optimize deployed agents for performance, reliability, and continuous improvement.
- Collaborate with business stakeholders, support adoption, and participate in change management.
- Stay current on emerging AI/ML techniques and Microsoft's AI tooling ecosystem.
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
Nice-to-have:- 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)
Education & Certifications:- 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)
Why Quadbridge:• Invest in Your Future - Benefit from our RRSP program to help you plan ahead
• Grow With Us - Take advantage of ongoing professional training and development opportunities.
• Comprehensive Coverage - A complete health, dental, life, STD and LTD insurance plan
• Top-Tier Equipment - We provide everything you need to do your best work.
• A Vibrant Workplace - Join us for monthly social and team building events.
• Bring Your Best Friend - Our offices are pet-friendly!
Work Schedule:Monday to Friday, 8:30 a.m. to 5 p.m.
Full-time, permanent, Hybrid
Language Requirement: This role requires professional proficiency in English to support collaboration with employees, distributors and customers outside of Quebec.
Application Deadline: Applications reviewed on a rolling basis.
This posting is for an existing vacancy.
Ce poste est également affiché en français.
