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... and agentic AI) using platforms such as Microsoft Foundry, Copilot Studio, and other tools ... Azure AI Engineer Associate, Microsoft Certified: Power Platform Solution Architect Expert) Why ...
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... and agentic AI) using platforms such as Microsoft Foundry, Copilot Studio, and other tools ... Azure AI Engineer Associate, Microsoft Certified: Power Platform Solution Architect Expert) Why ...
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... agentic AI, and shaping a pragmatic roadmap to get there * Team up with our data engineers, data scientists, AI engineers and solution architects to turn those use cases into impactful solutions ...
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Senior Developer (AI / ML)
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Senior Developer (AI / ML)
Montreal, QC · On-site +1
LLMs, RAG, prompt engineering, and agentic AI * FastAPI (or similar) * Vector databases (PostgreSQL/pgvector preferred) * MLOps, model monitoring, and evaluation * Docker and API-based deployments
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SAP iXp Intern - AI Engineer
Montreal, QC · On-site
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SAP iXp Intern - AI Engineer Location: Montreal, QC Expected start date to end date: September 2026 ... Experience with agentic frameworks (LangChain, LangGraph) or multi-tool orchestration. * Knowledge ...
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Deep understanding of GenAI and agentic AI fundamentals: prompt engineering, RAG architectures, agentic orchestration patterns, and evaluation methodologies. * Experience with MLOps practices: CI/CD ...
Deep understanding of GenAI and agentic AI fundamentals: prompt engineering, RAG architectures, agentic orchestration patterns, and evaluation methodologies. * Experience with MLOps practices: CI/CD ...
Deep understanding of GenAI and agentic AI fundamentals: prompt engineering, RAG architectures, agentic orchestration patterns, and evaluation methodologies. * Experience with MLOps practices: CI/CD ...
Deep understanding of GenAI and agentic AI fundamentals: prompt engineering, RAG architectures, agentic orchestration patterns, and evaluation methodologies. * Experience with MLOps practices: CI/CD ...
... engineering and data governance Practical understanding of Agentic & Generative AI applications in business optimization Ability to translate strategy into structured, scalable execution Expertise in ...
... engineering and data governance Practical understanding of Agentic & Generative AI applications in business optimization Ability to translate strategy into structured, scalable execution Expertise in ...
Azure AI Engineer Associate, Azure AI Fundamentals, Microsoft Copilot for Microsoft 365, Build an Agent in Microsoft Copilot Studio, Power Platform AI Fundamentals, Agentic AI Business Solutions ...
Azure AI Engineer Associate, Azure AI Fundamentals, Microsoft Copilot for Microsoft 365, Build an Agent in Microsoft Copilot Studio, Power Platform AI Fundamentals, Agentic AI Business Solutions ...
Azure AI Engineer Associate, Azure AI Fundamentals, Microsoft Copilot for Microsoft 365, Build an Agent in Microsoft Copilot Studio, Power Platform AI Fundamentals, Agentic AI Business Solutions ...
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Montreal, QC · On-site
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Full-time
Medical, Dental, Life
Posted 26 days ago
Job description
Who We Are:
Quadbridge is a fast-growing North American IT solutions provider, empowering businesses to navigate complex challenges daily, through strong partnerships with leading technology providers and close collaboration with our team and customers. With locations in Kitchener, Montreal and Vancouver, we strive to create an energetic, fun workplace where ambitious, like-minded teammates collaborate, innovate, and thrive as we continue to grow our national footprint.
We are Quadbridge. See how we're building tomorrow's solutions, together.
Role 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.
- 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
- 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)
- 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)
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!
Quadbridge is an equal opportunity employer, committed to diversity and inclusion in compliance with the Canadian Human Rights Act and Employment Equity Act. If you require accommodations under the applicable Canadian laws during the interview process, please inform us, and we will ensure your needs are met
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 egalement affiche en francais.