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Added 19 days ago
C
Senior / Principal Forward Deployed Engineering & AI Solutions Architect
CGI
Toronto, ON
- Full-time
Identify and qualify opportunities for generative AI, machine learning, intelligent automation and agentic workflows based on demonstrable business value and feasibility.
Added 19 days ago
MH
Junior/Senior Full-Stack Developer (AI/ML)
ManpowerGroup Hong Kong
Vancouver, BC
- Full-time
Candidates with more experience will be considered as Senior Developer
Added 19 days ago
SL
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is seeking an experienced Senior AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 19 days ago
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Senior Legal Counsel, Commercial (Technology), Office of the General Counsel
Deloitte
Toronto, ON
- Full-time
…transactions, including but limited to SaaS, Cloud, AI and Machine Learning…
Added 19 days ago
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Senior Machine Learning Applications and Compiler Engineer, LPX
NVIDIA
Toronto, ON
- Full-time
We are now looking for a Senior Machine Learning Applications and Compiler Engineer!
Added 19 days ago
ES
Data & Analytics Leader/Architect
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
Knowledge of AI, machine learning, Generative AI, Agentic AI, MLOps/LLMOps, responsible AI, and AI-led business transformation.
Added 19 days ago
AI
Data & Analytics Leader - BFSI, AI Transformation
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Knowledge of AI, machine learning, Generative AI, Agentic AI, MLOps/LLMOps, responsible AI, and AI-led business transformation.
Added 19 days ago
I
AI Data Architect
Insight
Toronto, ON
- Full-time
Design and lead modern data architectures that support analytics, business intelligence, machine learning, and AI-driven use cases.
Added 19 days ago
AS
Senior Business Systems Analyst, ServiceNow ITAM
Apex Systems
Toronto, ON
- $55 to $67 USD / hour
- Full-time
Apex Systems is hiring a Senior Business Systems Analyst with strong ServiceNow IT Asset Management (ITAM) experience to support a major financial services organization.
Added 19 days ago
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AI Solutions Architect
Hays
Toronto, ON
- Contract
The AI Solution Architect is a senior individual contributor within the Solutions Architecture team, responsible for designing, documenting, and delivering solution-level architecture for…
Added 19 days ago
EB
Associate Director, Quality Engineering (6 Months contract)
EQ Bank
Toronto, ON
- Contract
Integration of AI and Machine Learning: Leverage Azure Machine Learning (ML) to develop predictive models for automated testing, improving test coverage, and identifying potential software…
Added 19 days ago
CC
Manager, Enterprise Data Solutions
Connor, Clark & Lunn Financial Group (CC&L)
Vancouver, BC
- Full-time
AI & Advanced Data Capabilities: Help integrate AI, machine learning and intelligent automation into enterprise data solutions where they provide meaningful business value.
Added 19 days ago
S
Python Developer
SMARTFOX
Canada
- Full-time
Developer I - 0-2 years : Well-scoped features, bug fixes, and tests, learning our codebase with a dedicated mentor
Added 19 days ago
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Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Integrate advanced capabilities (e.g., machine learning–based anomaly detection and data validation) to enhance platform intelligence and insights.
Added 19 days ago
ES
Technical Artist Intern (Vancouver - Summer 2027 - 8-months - Undergraduate - Sports Tech)
EA SPORTS
Vancouver, BC
- Temporary
…character articulation and motion, content pipelines and workflows, machine learning, game security, dev ops, as well as long lead feature and technology development for all EA SPORTS…
Added 19 days ago
VI
Senior Software Developer - Machine Learning
Vector Institute
Toronto, ON
- $125,800 to $157,300 CAD / year
- Full-time
As a Senior Software Developer, Machine Learning, your primary focus will be on packaging machine learning research into reusable software artifacts. You will collaborate with…
Added 19 days 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 19 days ago
Dynamics/Powerplatform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft power platform Engineer, who is familiar with AI Builder and Co-Pilots as well as Dynamics and Power Apps. The ideal candidate will have experience…
Added 19 days ago
T
Applied Machine Learning Scientist II
TD
Toronto, ON
- Full-time
The role is responsible for providing technical knowledge and expertise on advanced analytics and machine learning across a broad range of analytics functions including data and modelling…
Added 19 days ago
AE
Senior Specialist, Geology & Data Science
Alberta Energy Regulator
AB · Calgary, AB · Edmonton Regional Office
- Full-time
…extract insights, and create predictive models, using AI and machine learning for the purposes of geological mapping/modelling, landscape susceptibility analysis, assessing operational…
Added 19 days ago
M
Senior HR Digital Engagement Advisor (Contract Position)
Metrolinx
Canada
- Full-time
Our Human Resources Operations Division is looking for a forward-thinking, inclusive Senior Advisor, HR Digital Engagement to shape employees’ HR experience in a modern, digital-first…
Added 19 days ago
Senior Machine Learning Engineer, Benefits Personalization
HelloFresh
Toronto, ON
Be active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Data Scientists, Machine Learning Engineers, Data Engineers, Product Owners, Back-end…
Added 19 days ago
T
Senior Applied Machine Learning Scientist (predictive analytics)
TD
Toronto, ON · Montreal, QC
- Full-time
As a Senior Applied Machine Learning Scientist, you will lead a high-performing team of AI/ML professionals and provide technical leadership across the AI function. You will be responsible…
Added 19 days ago
T
Modelling / Forecasting Senior Analyst (Quants)
TD
Toronto, ON
- Full-time
…risk models as well as advanced statistical tools, such as machine learning algorithms, to deliver innovative solutions for our stakeholders and add value in effective risk management…
Added 19 days ago
AI Data Architect
Insight Enterprises, Inc.
Toronto, ON
Design and lead modern data architectures that support analytics, business intelligence, machine learning, and AI-driven use cases.

Capgemini

Dynamics/Powerplatform engineer

Montreal, QC, Canada

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Applications open in a new tab.

Job details

Experience: 10+ years' experience building web applications.
Posting language: English
Posted: Oct 6, 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

Role Profile:
We are looking for a Senior Microsoft power platform Engineer, who is familiar with AI Builder and Co-Pilots as well as Dynamics 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. They will be focused on LLM-based AI systems, conversational AI, and machine learning-driven automation, experienced in building scalable and production-ready solutions. They should have worked on Data Integration, Connecting Copilot Studio to relevant data sources like SharePoint, Dynamics 365, and external APIs.

Specifically, the person will be responsible for the following:
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 the Microsoft Azure platform, AI Builder and Co-pilot with Dynamics
Develop and deploy machine learning models using 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 technical and non-technical stakeholders clearly and effectively.
Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions.
Specifies or implements AI platform improvements like fine-tuning or training custom ML 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 in 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 in the following technologies - Microsoft Dynamic 365 Customer Engagement
Experience of iterative / agile development practices
Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
Excellent communication skills

Desired Skills:
Dynamics / Power Platform / Azure certifications
Familiar with basic Machine Learning concepts
Knowledge of Enterprise Architecture Patterns
Experience with full lifecycle application testing (functional, regression, performance, integration, etc.) and delivery management.
Comfortable with direct interaction with the business users at all levels

Qualifications:
Bachelor's degree in computer science, equivalent field, or equivalent experience.
10+ years' experience building web applications.

The base compensation range for this role in the posted location is: 85,000 - 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 to support business automation and data-driven decision-making. Collaborate with stakeholders to build scalable AI infrastructure and optimize performance for production-ready solutions.

Requirements

Requires a bachelor's degree in computer science or equivalent and over 10 years of experience in building web applications. Candidates must possess strong proficiency in Microsoft Power Platform, Azure AI tools, and programming languages like C# or Python.

Skills

Power Platform
Dynamics 365
Power Apps
AI Builder
Copilot Studio
Azure
C#
Python
Machine Learning
Azure DevOps
CI/CD
Data Integration
Generative AI
RAG
Bot Framework
Enterprise Architecture

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
Power Apps
Power Automate
AI Builder
Copilot Studio
Azure
Azure DevOps
CI/CD
C#
Python
Java
Machine Learning
Cognitive Services
Bot Framework
LLM
SLM
RAG
Embeddings
TensorFlow
PyTorch
Enterprise Architecture
Agile
Data Integration
Generative AI
Cloud
Software Engineering
API
SharePoint
Customer Engagement

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