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Added 42 mins ago
AC
Product Development Engineer – Liquid Cooling
Amphenol Communications Solutions
Markham, ON
- Full-time
Job Title: Product Development Engineer – Liquid Cooling for Front-End I/O Connectors
Added 1 hour ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
We are seeking a Backend & AI Engineer, for Siemens Digital Industries Operations Software to help build and scale our Agentic AI platform. The role focuses on solid backend engineering,…
Added 1 hour 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 1 hour ago
AG
Kubernetes (K8s) / HPC Engineer
Axiom Global Technologies
Canada
- Contract
We are seeking an experienced Kubernetes (K8s) / High-Performance Computing (HPC) Engineer to design, deploy, optimize, and manage scalable compute platforms supporting AI/ML, engineering…
Added 1 hour ago
YI
AI Engineer
YuJa Inc.
Toronto, ON · North York, Ontario
- Full-time
…inclusive, user-centric solutions. We’re looking for a passionate AI Engineer to join our core engineering team and help design, build, and scale our AI infrastructure and…
Added 2 hours ago
Senior Machine Learning Engineer, Recommendations
Lyft
Toronto, ON
We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial…
Added 2 hours ago
Senior Software Engineer, Full-Stack Applications - Python
Fitch Group
Toronto, ON
Senior Software Engineer, Full-Stack Applications – Python
Added 2 hours ago
R
Architecte de données / Data Architect
RTX
Longueuil, QC
- Full-time
Added 2 hours ago
Sr Software Dev Engineer III, RDS for Oracle
Amazon
Vancouver, BC
Amazon Web Services is hiring a Software Development Engineer III for the RDS for Oracle team. We are looking for an experienced engineer to design and build the next generation of managed…
Added 3 hours ago
Senior Data Scientist I
Bell
Toronto, ON
The Cloud Capability: Extensive hands-on knowledge of Google Cloud Platform (GCP); holding a GCP Professional Machine Learning Engineer certification is a massive bonus!
Added 3 hours ago
Senior Software Engineer, Data Platform
Okta
Toronto, ON
Added 9 hours ago
M
AI Engineer
maru.ai
Engineer, BC
- Full-time
We are an early stage startup developing cutting-edge AI technology. We are looking for a talented AI engineer to join our small but growing team. You will have the opportunity to take on a…
Added 9 hours ago
M
Software QA Engineer
maru.ai
Engineer, BC
- Full-time
We are looking for a detail-oriented Software QA Engineer to join our fast-growing AI/ML startup. In this role, you will help ensure the quality of our AI/ML products by designing and…
Added 9 hours ago
M
Software Engineer
maru.ai
Engineer, BC
- Full-time
Added 9 hours ago
BS
ML/AI Engineer
Brock Software
Engineer, BC
- Full-time
We're seeking an experienced engineer to fine-tune open source models, train them on custom datasets, and deploy them to production using GPU infrastructure on platforms like fly.io.
Added 10 hours ago
J
Machine Learning Engineer Intern
Jobright.ai
Canada
- Internship
…helps users reach better job outcomes. The Machine Learning Engineer Intern will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model…
Added 10 hours ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 11 hours ago
E
Principal Product Manager - Identity Threat Detection and Response
Elastic
Canada
- Full-time
…You are an advocate for the security analyst and detection engineer, and you are focused…
Added 11 hours ago
M
Security Engineer II - Identity and Access Management
Marqeta
Remote, Canada
- Full-time
- Remote
We’re seeking an experienced Security Engineer II with a strong passion for Identity and Access Management (IAM) and expertise in cloud-native environments, particularly AWS. You'll build,…
Added 13 hours ago
B&
Lead, AI Engineering
Bain & Company
Zurich, ON
- Full-time
As an AI Engineer in AIS, you will build the technical core of these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The…
Added 15 hours ago
G
Browser Security Engineer Intern, (Winter 2026)
GeoComply
Vancouver, BC
- Internship
Added 15 hours ago
E
Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
Added 15 hours ago
AI
Kubernetes Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced Kubernetes (K8S) / HPC Engineer to design, deploy, and manage scalable compute platforms supporting AI/ML, simulation, and data-intensive workloads.
Added 15 hours ago
B
Software Engineer- Inference Performance
Baseten
Montreal, QC
- $180,000 to $360,000 USD / year
- Full-time
You'll get to work on these types of projects as an Inference Performance engineer:
Added 15 hours ago
B
Software Engineer- Inference Platform
Baseten
Montreal, QC
- $180,000 to $360,000 USD / year
- Full-time

Capgemini

Dynamics/Powerplatform engineer

Montreal, QC, Canada

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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-powered solutions using Microsoft technologies including Dynamics 365 and Power Platform. Collaborate with stakeholders to build scalable AI infrastructure and optimize machine learning models for business automation.

Requirements

Requires a bachelor's degree in computer science or equivalent and 10+ years of experience in building web applications. Candidates must have strong proficiency in Microsoft Power Platform, Azure, C#, and AI development frameworks.

Skills

Microsoft Power Platform
Dynamics 365
Power Apps
Power Automate
AI Builder
Copilot Studio
Azure
C#
Python
Machine Learning
LLMs
RAG
Azure DevOps
CI/CD
Bot Framework
Cognitive Services

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
Azure
C#
Python
Java
Machine Learning
LLMs
SLMs
RAG
Azure DevOps
CI/CD
Bot Framework
Cognitive Services
TensorFlow
PyTorch
Enterprise Architecture
Agile
Software Engineering
Data Integration
Cloud Computing
Generative AI
Application Testing
API
SharePoint
Consulting

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