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Added 1 month ago
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Software Developer
BinSentry
Kitchener, ON
- Full-time
Be a part of a team of talented and friendly senior-level developers.
Added 1 month ago
WO
Manager Sales & Commercial Operations (MB & SK)
Women of the Vine & Spirits
Regina, SK
- Full-time
…people - and equips them with leading technology, continuous learning, and the ability to bring their best selves to work. As North America's largest total beverage distributor, Southern…
Added 1 month ago
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Product Owner - AI Ready Unstructured Data Governance
Sanofi
Toronto, ON
- Full-time
Communicate product progress, risks, and outcomes clearly to senior leadership including the Head of Data Governance Product Line.
Added 1 month ago
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VP of Operations
Wolf Steel Ltd
Barrie, ON
- Full-time
Experience leading through plant managers, general managers, or senior site leaders in a multi‑site environment
Added 1 month ago
Senior Developer Support Engineer - Builder Experience (BX)
Okta
Toronto, ON
As a Senior Developer Support Engineer on the Builder Experience team, you are a hands-on technical problem solver passionate about helping Okta’s customers, ISVs, GSIs, and partners…
Added 1 month ago
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Associate Director, Artificial Intelligence
Thompson Rivers University
Kamloops, BC
- Full-time
Familiarity with cloud AI/ML platforms such as AWS SageMaker, Azure Machine Learning, or equivalent.
Added 1 month ago
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Associate Director, Capital Planning & Reporting
RBC
Toronto, ON
- Full-time
Identify high-impact opportunities to leverage AI, machine learning, and advanced analytics to enhance forecasting accuracy, automate manual analyses, and accelerate capital planning,…
Added 1 month ago
NE
Développeur.se logiciel EI² - Software Developer EI²
NorthStar Earth & Space
Montréal-Ouest, QC
- Full-time
We are looking for a Senior Software Developer to evolve our image processing pipeline toward new use cases. Expected start date: November 1st, 2026.
Added 1 month ago
Sr. Data Scientist
Pinterest
Toronto, ON
Extensive experience solving analytical problems using quantitative approaches including in the fields of Statistics, Machine Learning, Forecasting, Econometrics or other related fields.
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Staff Data Scientist, Applied ML
Jobber
AB · Edmonton, AB
- Full-time
Are you a Machine Learning practitioner who is technically deep and commercially sharp?
Added 1 month ago
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Staff Data Scientist, Applied ML
Jobber
Vancouver, BC
- Full-time
Are you a Machine Learning practitioner who is technically deep and commercially sharp?
Added 1 month ago
J
Staff Data Scientist, Applied ML
Jobber
Toronto, ON
- Full-time
Are you a Machine Learning practitioner who is technically deep and commercially sharp?
Added 1 month ago
KH
Group Lead, AI Governance
Kraft Heinz
Toronto, ON
- Full-time
7+ years of experience across MLOps, machine learning engineering, data science, cloud engineering, platform engineering, technology risk, or related disciplines, including responsibility…
Added 1 month ago
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Staff Data Scientist, Applied ML
Jobber
Kitchener, ON
- Full-time
Are you a Machine Learning practitioner who is technically deep and commercially sharp?
Added 1 month ago
Manager, Investment Insights
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
…include performance, attribution, portfolio risk and exposure, machine learning stock screeners, hypothetical scenario analysis, competitor analysis, liquidity risk, trade monitoring, ESG…
Added 1 month ago
Manager, Investment Insights
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
…include performance, attribution, portfolio risk and exposure, machine learning stock screeners, hypothetical scenario analysis, competitor analysis, liquidity risk, trade monitoring, ESG…
Added 1 month ago
Analyst, Investment Insights
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
…include performance, attribution, portfolio risk and exposure, machine learning stock screeners, hypothetical scenario analysis, competitor analysis, liquidity risk, trade monitoring, ESG…
Added 1 month ago
Analyst, Investment Insights
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
…include performance, attribution, portfolio risk and exposure, machine learning stock screeners, hypothetical scenario analysis, competitor analysis, liquidity risk, trade monitoring, ESG…
Added 1 month ago
NI
RF Engineering Manager
NORSAT INTERNATIONAL INC
Aurora, ON
- $110,000 to $140,000 CAD / year
- Full-time
Establish and monitor engineering KPIs and regularly report progress to senior leadership.
Added 1 month ago
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Applied Researcher 3 - Multimodal AI
eBay
Toronto, ON
- Full-time
This team works at the intersection of visual computing, multimodal data integration, and large-scale machine learning systems. We build and deploy production models and agentic pipelines…
Added 1 month ago
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Senior Infrastructure Specialist – Digital Library Platforms
BMO
Toronto, ON
- Full-time
Virtualization and virtual machine technologies
Added 1 month ago
Dynamics / Power platform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft Power Platform Engineer with expertise in AI Builder, Copilot, Dynamics 365, and Power Apps. The ideal candidate will have experience designing and…
Added 1 month ago
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Data Scientist
Lantern
AB · Edmonton, AB
- Full-time
Lantern is seeking a hands-on, client-facing Senior Data Scientist to design, develop, and operationalize advanced analytics, machine learning, generative AI, and agentic AI solutions using…
Added 1 month ago
Machine Learning Operations Engineer/Senior
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Calgary, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
The Machine Learning Operations Engineer/Senior is responsible for the design, development, deployment, monitoring, and operationalization of machine learning and AI solutions. The engineer…
Added 1 month ago
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Senior Software Developer, Backend
Dialogue
Montreal, QC
- $105,000 to $145,000 CAD / year
Your role as Senior Software Developer, Backend

Capgemini

Dynamics / Power platform engineer

Montreal, QC, Canada

Apply About employer

Applications open in a new tab.

Job details

Experience: 10+ years of experience building web applications.
Posting language: English
Posted: Sep 29, 2026

Original job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

We are looking for a Senior Microsoft Power Platform Engineer with expertise in AI Builder, Copilot, Dynamics 365, and Power Apps. The ideal candidate will have experience designing and deploying AI-powered solutions for business automation, customer interaction, and data-driven decision-making. The role focuses on LLM-based AI systems, conversational AI, and machine learning-driven automation, with experience building scalable, production-ready solutions. Experience in data integration and connecting Copilot Studio to data sources such as SharePoint, Dynamics 365, and external APIs is required.

Key Responsibilities

Design, develop, and implement AI models and algorithms using Microsoft technologies.
Collaborate with data scientists and business stakeholders to understand requirements and design effective AI solutions.
Build and maintain scalable, high-performance AI infrastructure on Microsoft Azure, AI Builder, Copilot, and Dynamics 365.
Develop and deploy machine learning models using Azure Machine Learning, Cognitive Services, Bot Framework, and other Azure AI tools.
Optimize AI algorithms for performance and scalability.
Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
Document and communicate AI solutions and recommendations to both technical and non-technical stakeholders.
Evaluate AI technologies such as LLMs, SLMs, and embeddings, as well as architectures including orchestration patterns and RAG, when developing solutions.
Specify or implement AI platform improvements, including fine-tuning and training custom machine learning models.

Required Skills

Experience with Power Apps, Power Automate, Plugins, AI Builder, Copilot, and related architecture and design practices.
Experience with Azure, Azure DevOps for CI/CD, and C#.NET.
Proven experience developing and deploying AI models and algorithms.
Proficiency in programming languages such as Python, Java, or C#.
Strong knowledge of AI frameworks and libraries such as TensorFlow, PyTorch, or similar.
Experience with Microsoft Dynamics 365 Customer Engagement.
Experience with iterative/agile development practices.
Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment.
Excellent communication skills.

Desired Skills

Dynamics 365, Power Platform, or Azure certifications.
Familiarity with basic machine learning concepts.
Knowledge of Enterprise Architecture patterns.
Experience with full lifecycle application testing, including functional, regression, performance, and integration testing.
Experience with delivery management.
Comfortable interacting directly with business users at all levels.

Qualifications

Bachelor's degree in Computer Science, a related field, or equivalent experience.
10+ years of experience building web applications.

The base compensation range for this role in the posted location is: 80,000 to 95,652

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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More about this job

Responsibilities

Design, develop, and implement AI models and algorithms using Microsoft technologies like AI Builder and Copilot. Collaborate with stakeholders to build scalable AI infrastructure and optimize performance for business automation.

Requirements

Requires a bachelor's degree in Computer Science or equivalent and 10+ years of experience in web application development. Proficiency in Power Platform, Azure, and programming languages like C# or Python is essential.

Skills

Power Platform
Dynamics 365
AI Builder
Copilot
Power Apps
Power Automate
Azure
C#.NET
Python
Machine Learning
Azure DevOps
CI/CD
Conversational AI
Data Integration
Agile Development
Problem-solving

Benefits

Paid time off
Company paid holidays
Personal days
Sick leave
Medical coverage
Dental coverage
Vision coverage
Retirement savings plans
Life insurance
Disability insurance
Employee assistance programs

Visa sponsorship

Not detected in the job text

Keywords

Dynamics 365
Power Platform
AI Builder
Copilot
Power Apps
Power Automate
Azure
Machine Learning
Generative AI
LLM
RAG
Python
C#
Java
TensorFlow
PyTorch
Azure DevOps
CI/CD
Enterprise Architecture
Agile
Data Integration
Cloud
Software Engineering
Bot Framework
Cognitive Services

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