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Added 11 days ago
AI
Data Center Technician
Apptoza Inc.
Cambridge, ON
- Contract
Maintain data center operations to ensure service availability and reliability.Conduct hardware and network diagnostics and repairs.Root cause analysis of hardware and software…
Added 11 days ago
QW
AI Developer with Python
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
8+ years of software development experience with strong hands-on expertise in Python.
Added 11 days ago
HB
Platform Engineer - fintech - Montreal - $220,000+ bonus!
Hunter Bond
Montreal, QC
- Full-time
A leading global quantitative investment firm, built on research, technology and data. Engineers here work closely with researchers and developers, and the platform they build underpins…
Added 11 days ago
AJ
PhD Position in Generative Modeling of Human Development and Disease
Athena's Journey
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
You Will Develop Generative Models On Single-cell And Spatial Genomics Data, From Sequencing And Imaging, And Apply Them To Human Developmental And Disease Biology. Possible Research…
Added 11 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Field of Study: Computer Science, Software Engineering, Health Informatics, or a related field, or equivalent professional experience
Added 11 days ago
NF
Senior Data Scientist
Northbridge Financial Corporation
Toronto, ON
- Full-time
Apply advanced technical skills in data engineering and exploration, statistical modeling and machine learning, and deployment pipelines to effectively solve business problems
Added 11 days ago
T
TD Asset Management Portfolio Analytics Data Analyst Intern/Co-Op (Winter 2027)
TD
Toronto, ON
- Full-time
We are seeking a front-office Data Analyst to join us on the Portfolio Research & Analytics team to build cutting edge portfolio management and reporting tools. In this role, you will work…
Added 11 days ago
CN
Area Geophysicist
Canadian Natural
Calgary, AB
- Full-time
…conversion, integrating results with geological, petrophysical, engineering, and production…
Added 11 days ago
B
Manager, Data Science, AI Risk
BMO
Sainte-Catherine, QC · Toronto, ON · FCP
- Full-time
Degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Information Technology, Business, or a related discipline.
Added 11 days ago
B
SENIOR TECHNOLOGY SPECIALIST - VIRTUAL DESKTOP & LINUX PLATFORMS
BDC
Montreal, QC
- Full-time
The specialist will leverage Ansible Automation Platform, Azure DevOps, PowerShell, Python, and API-driven integrations to automate operational processes, improve platform reliability, and…
Added 11 days ago
MT
DSP & Systems Architecture Intern
Marvell Technology
Toronto, ON · Markham, ON · CA-ON - Markham
- Full-time
Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our…
Added 11 days ago
H
Technical Production Support Analyst
Hays
Montreal, QC
- Contract
This role sits at the intersection of Production Support, Application Support, DevOps and Site Reliability Engineering (SRE). You will work closely with engineering and development teams to…
Added 11 days ago
RH
Building Sciences Lead (Specialist)
Rhizome HR
Markham, ON
- Full-time
Exposure to Python, data analytics, or AI/ML-enabled workflows.
Added 11 days ago
Senior Business Data Analyst - Asset Management Software
Siemens
ON · NB · NS · AB
The role offers significant ownership and visibility within a small, collaborative Data & AI team. You will work with modern technologies including Snowflake, dbt, SQL, Python, Power BI,…
Added 11 days ago
MI
Data Engineer
Mycionics Inc.
Kitchener, ON
- Full-time
Education: Graduate degree in Computer Science, Data Science, or Engineering is preferred. Undergraduate degrees with strong, relevant experience will be considered.
Added 11 days ago
TR
Systems Testing/QA Specialist - Intermediate
Top Recruitment
Toronto, ON
- Contract
Scripting skills (Python, JavaScript, or Bash) for automation and test data setup.
Added 11 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 11 days ago
MP
Systems Integration Lead (Revenue Mgmt Systems) (2) - Temporary Assignment Up to 18 Months
Municipal Property Assessment Corporation
Pickering, ON
- Temporary
Experience with Git version control, CI/CD pipelines, design patterns, data structures and algorithms, unit testing in Python or Java, and federated token-based authentication.
Added 11 days ago
Conversational AI Developer
Bell
Toronto, ON
Bachelor’s degree (or college diploma) in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
Added 11 days ago
DevOps Engineer
Capgemini
Toronto, ON
…production troubleshooting, platform migrations, and reusable engineering…
Added 11 days ago
UO
Development Engineer
University of Alaska Fairbanks Petroleum Engineering
Engineer, BC
- Part-time
Collaborate with process and supplier engineering to drive design manufacturability.
Added 11 days ago
T
AI Technical Trainer – Microsoft 365 Copilot & Agentic AI
Trainify
Canada
- Contract
Grounding agents using SharePoint, websites, Dataverse, files, and enterprise data
Added 11 days ago
O
Senior Network Engineer
OnX
Toronto, ON
- Full-time
Lead and/or assist in the engineering (planning, design, implementation, and operation) of complex network infrastructure systems, including:
Added 11 days ago
T
Modelling / Forecasting Senior Analyst (Quants)
TD
Toronto, ON · Markham, ON
- Full-time
…statistics, economics, finance, mathematics, computer science and…
Added 11 days ago
Principal Engineer, Data Path / Metadata / Performance (StorageGRID)
NetApp, Inc.
Vancouver, BC
Lead StorageGRID designs and drive architectural alignment across data path engineering.

Trainify

AI Technical Trainer – Microsoft 365 Copilot & Agentic AI

Canada

Contract

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Job details

Job type: Contract
Posting language: English
Posted: Oct 15, 2026

Original job description

About the Role

trAInify is seeking a highly technical and engaging AI Technical Trainer specializing in the Microsoft AI ecosystem to deliver practical, enterprise-focused AI training programs to organizations and professionals.

This role goes beyond teaching users how to prompt Microsoft 365 Copilot. The successful candidate must have hands-on experience designing, building, testing, deploying, and troubleshooting AI agents, automations, applications, and workflows across the Microsoft ecosystem.

The ideal candidate combines strong technical expertise with the ability to translate complex concepts into practical, easy-to-understand learning experiences for both technical and non-technical audiences.

Key ResponsibilitiesMicrosoft 365 Copilot Training

Deliver instructor-led training on Microsoft 365 Copilot and its use across applications including:

Microsoft Teams
Outlook
Word
Excel
PowerPoint
OneDrive
SharePoint
Microsoft 365 Copilot Chat

Teach participants how to use Copilot effectively for research, analysis, content creation, productivity, collaboration, decision support, and business process improvement.

Develop realistic demonstrations, exercises, use cases, and hands-on labs based on client departments and business functions.

Copilot Studio & AI Agent Development

Design and build enterprise AI agents using Microsoft Copilot Studio.

Candidates should be comfortable with:

Creating and configuring Copilot Studio agents
Designing agent instructions and conversation logic
Connecting agents to organizational knowledge sources
Grounding agents using SharePoint, websites, Dataverse, files, and enterprise data
Creating agent actions and tools
Integrating Power Automate flows into agents
Using connectors and APIs to extend agent functionality
Configuring authentication and permissions
Testing, debugging, and evaluating agents
Managing topics, triggers, variables, entities, and actions
Publishing and deploying agents
Making agents available through Microsoft Teams and Microsoft 365 Copilot
Managing agent environments and solutions
Understanding enterprise governance, security, and lifecycle considerations for deployed agents

The trainer must be able to build an agent live during training, explain the underlying architecture, troubleshoot issues, and guide participants through building their own agents.

Microsoft Foundry

Have practical knowledge of Microsoft Foundry, including how it complements Microsoft Copilot Studio and the broader Microsoft AI ecosystem.

Experience should include areas such as:

Creating and managing Foundry projects
Working with foundation models and model catalogs
Building and deploying AI applications and agents
Foundry Agent Service
Model selection and deployment
Prompt engineering and orchestration
Connecting agents to tools and knowledge sources
Retrieval-Augmented Generation (RAG) concepts
Working with enterprise data
Testing and evaluating AI applications
Understanding model endpoints and APIs
AI application monitoring and observability
Responsible AI, security, governance, and access controls

Candidates should be able to explain when an organization should use Microsoft 365 Copilot, Copilot Studio, Power Platform, or Microsoft Foundry based on the technical requirements of a use case.

Power Automate

Design and teach business process automation using Microsoft Power Automate, including:

Automated cloud flows
Instant and scheduled flows
Approval workflows
Triggers and actions
Conditional logic
Microsoft 365 connectors
SharePoint integrations
Outlook and Teams automation
Dataverse integration
Calling Power Automate flows from Copilot Studio agents
Connecting AI agents to operational business processes
Troubleshooting failed flows and connections

The trainer should be capable of demonstrating how an AI agent can initiate actions and complete multi-step business processes through Power Automate.

Power Apps & Power Platform

Demonstrate practical knowledge of Microsoft Power Apps and the broader Power Platform, including:

Canvas apps
Dataverse
Connectors
Power Platform environments
Integrating Power Apps with Power Automate
Incorporating AI and agents into business applications
Building basic applications to support enterprise AI use cases

Advanced Power Apps development experience is beneficial but not required if the candidate has strong knowledge across the remainder of the Microsoft ecosystem.

Enterprise AI Solutions

Work with clients to identify processes that can be enhanced through AI, agents, and automation.

Translate business requirements into practical Microsoft-based AI solutions.

Examples may include:

Internal knowledge agents
HR support agents
Customer service agents
Research agents
Document analysis agents
Sales support agents
Employee onboarding agents
Email and communication agents
Automated reporting workflows
Approval and compliance workflows
Data extraction and processing agents
Multi-step business process agents

Support clients in understanding how AI agents can move beyond answering questions to reasoning, retrieving information, calling tools, triggering workflows, and completing business tasks.

Training & Facilitation Responsibilities

The successful candidate must also be an effective instructor.

Responsibilities include:

Delivering virtual and in-person AI training
Facilitating technical workshops and bootcamps
Conducting live demonstrations
Guiding participants through hands-on labs
Explaining technical concepts to non-technical audiences
Supporting participants during agent-building exercises
Troubleshooting technical issues during workshops
Customizing examples around client industries and departments
Creating exercises, demonstrations, case studies, and technical training materials
Staying current with changes across Microsoft Copilot, Copilot Studio, Power Platform, and Microsoft Foundry

The role may involve training audiences ranging from business professionals and managers to developers, IT teams, engineers, and AI Champions.

Required Technical Skills

Candidates should have strong hands-on experience with several of the following:

Microsoft 365 Copilot
Microsoft Copilot Studio
Microsoft Foundry
Power Automate
Power Apps
Microsoft Dataverse
Microsoft Teams
SharePoint
Microsoft 365
Microsoft Entra ID concepts
APIs and connectors
Enterprise authentication and permissions
Retrieval-Augmented Generation (RAG)
Generative AI and Large Language Models
AI agents and agentic workflows
Prompt engineering
AI governance and Responsible AI

Knowledge of Azure OpenAI, Microsoft Graph, REST APIs, JSON, Python, JavaScript, MCP, Azure services, or other software development technologies is considered a strong asset.

Required Experience

The ideal candidate will have:

Demonstrated experience building AI agents using Microsoft Copilot Studio
Hands-on experience with Microsoft 365 Copilot
Experience building workflows using Power Automate
Working knowledge of Microsoft Foundry and Microsoft's enterprise AI architecture
Experience integrating multiple Microsoft services into working solutions
Strong troubleshooting and problem-solving skills
Experience delivering technical training, workshops, demonstrations, or presentations
Excellent verbal communication and presentation skills
The ability to explain technical concepts clearly to business audiences
Confidence conducting live technical demonstrations in front of clients

Formal teaching experience is beneficial but is not required if the candidate has strong technical expertise and presentation skills.

Preferred Qualifications

Microsoft certifications in areas such as Power Platform, Azure AI, Microsoft 365, Copilot, or related technologies are considered an asset.

Experience working with enterprise clients, consulting organizations, financial institutions, government organizations, or other regulated industries is also beneficial.

What We Are Looking For

We are particularly interested in candidates who are builders as well as trainers.

The right candidate should be equally comfortable opening Copilot Studio and building an agent, connecting that agent to Power Automate and enterprise data, troubleshooting why something is not working, and then standing in front of a room and teaching others how to build it themselves.

This is not solely a Microsoft 365 productivity training position. It is a technical AI training role focused on helping organizations move from using Copilot to building AI agents, automations, applications, and enterprise AI solutions across the Microsoft ecosystem.

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More about this job

Responsibilities

Deliver practical, enterprise-focused training on Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, Power Automate, and Power Apps, including live demonstrations and hands-on agent-building workshops. Help clients identify business processes for AI and automation, build and troubleshoot integrated Microsoft solutions, and teach participants how to deploy agents and workflows responsibly.

Requirements

Candidates should have hands-on experience building AI agents with Copilot Studio, using Microsoft 365 Copilot and Power Automate, and working knowledge of Microsoft Foundry and the Microsoft enterprise AI ecosystem. They must also be effective technical instructors with strong troubleshooting, presentation, and communication skills; Microsoft certifications and experience with enterprise or regulated clients are beneficial.

Skills

Microsoft 365 Copilot
Microsoft Copilot Studio
Microsoft Foundry
Power Automate
Power Apps
Microsoft Dataverse
AI Agent Development
Generative AI
Prompt Engineering
Retrieval-Augmented Generation
Enterprise AI Architecture
API Integration
Enterprise Authentication and Permissions
AI Governance and Responsible AI
Technical Training and Facilitation
Troubleshooting

Visa sponsorship

Not detected in the job text

Keywords

Microsoft 365 Copilot
Microsoft Copilot Studio
Microsoft Foundry
Power Automate
Power Apps
Microsoft Dataverse
Microsoft Teams
SharePoint
Microsoft Entra ID
AI Agents
Agentic Workflows
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
APIs
Connectors
REST APIs
JSON
Python
JavaScript
Model Context Protocol
Azure OpenAI
Power Platform
Enterprise AI
AI Governance
Responsible AI
Technical Training
Live Demonstrations
Enterprise Authentication

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