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Generative Ai Testing Jobs in Quebec (NOW HIRING)

KPMG

... testing, release, and sustainment * Strong communication skills with the ability to engage business ... Exposure to AI agent tools and generative AI capabilities such as Copilot Studio, Azure AI, Azure ...

TTC Global

Senior Test Automation Engineer

Montreal, QC · On-site +1

... testing Generative AI solutions or LLM based systems Experience working in complex enterprise environments or large scale systems Qualifications Bachelor's Degree in Computer Science, Engineering ...

Maarut

CA$1 - CA$11/hr

Ensure code quality through rigorous unit, integration, and performance testing, adhering to the ... Experience with Generative AI (Gen AI) tools, frameworks, or integrations within software products

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Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and programming. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development and quality assurance.

What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leading AI development projects, strategic planning, and overseeing AI teams in large organizations or tech companies.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI development tools and testing frameworks, along with attention to detail, is essential for identifying issues in AI systems.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Quebec? For Generative Ai Testing jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Quebec look for? The top searched job categories for Generative Ai Testing jobs in Quebec are:
Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Quebec as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

AI Agent and Application Development Delivery Lead

KPMG

Joliette, QC • On-site, Remote

Full-time

Posted 25 days ago

Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

We are seeking an AI Agent and Application Development Delivery Lead to join our ITS Application Development team. This role is designed for someone with prior hands-on experience in application, automation, or AI agent development who is ready to move into a delivery leadership role supporting developers and contractors. 

The role focuses on keeping technical delivery moving: managing the delivery backlog, aligning work to available capacity, supporting contractor onboarding and utilization, resolving blockers, and helping solutions progress from intake through build, release, and sustainment. 


What you will do
  • Lead day-to-day delivery of AI agent, automation, and application development work across internal developers and contractors
  • Maintain and prioritize the development delivery backlog, ensuring work items are clear, sequenced, and assigned to the right technical owners
  • Manage developer and contractor capacity, including availability, skill alignment, onboarding status, forecasted demand, utilization, and delivery throughput
  • Guide intake, triage, and assignment of new AI agent, Power Platform, and application development requests based on business value, complexity, risk, and available capacity
  • Provide practical technical oversight by reviewing solution approaches, dependencies, quality expectations, and release readiness with developers
  • Partner with architects, security, infrastructure, product owners, business stakeholders, and development teams to remove blockers and maintain delivery momentum
  • Support agile delivery routines, including backlog refinement, planning, stand-ups, retrospectives, acceptance criteria, and release coordination
  • Oversee contractor-related activities such as onboarding requests, work allocation, timesheet and invoice validation, budget burn, and spend visibility in partnership with internal teams
  • Maintain lightweight delivery documentation, handoffs, and decision records to improve consistency, knowledge transfer, and sustainment
  • Identify recurring delivery friction points and recommend practical improvements to intake, resource allocation, tracking, and communication

What you bring to the role
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent practical experience
  • Prior hands-on experience in enterprise application development, AI agent development, intelligent automation, integrations, or Microsoft Power Platform solutions
  • Experience guiding developers, contractors, or technical delivery teams while staying close enough to the work to understand effort, blockers, and quality risks
  • Strong understanding of agile software delivery and backlog management in a technical development environment
  • Ability to translate business needs into clear technical work items and help teams move from intake through build, testing, release, and sustainment
  • Strong communication skills with the ability to engage business users, developers, architects, security partners, and senior stakeholders
  • Ability to manage multiple delivery priorities, balance capacity, and make practical trade-offs in a fast-paced environment
  • Comfort with ambiguity and a willingness to take ownership of outcomes, unblock teams, and improve delivery practices
  • Working knowledge of AI agent and application development concepts, with hands-on background to guide developers and assess delivery risks 
  • Experience with Microsoft Power Platform, including Power Apps, Power Automate,Power BI,Dataverse, and related solution delivery practices 
  • Exposure to AI agent tools and generative AI capabilities such as Copilot Studio, Azure AI, Azure OpenAI, or similar platforms
  • Understanding of integrations, APIs, SharePoint Online, ServiceNow, Moveworks Agent Studio, or comparable enterprise platforms
  • Familiarity with agile delivery methods, DevOps basics, backlog management, testing expectations, and release readiness
  • Ability to evaluate estimates, sequencing, dependencies, risks, and trade-offs for AI agent and application development work
  • Relevant Microsoft, Azure, Power Platform, or AI certifications are considered an asset

This position requires written and oral fluency in English. The successful candidate will be required to support or collaborate with English-speaking colleagues or stakeholders nationally in our English speaking provinces while at KPMG.

KPMG BC Region Pay Range Information   

The expected base salary range for this position is $75,600 to $114,600 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. 

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $75,600 to $114,600 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent practical experience
  • Prior hands-on experience in enterprise application development, AI agent development, intelligent automation, integrations, or Microsoft Power Platform solutions
  • Experience guiding developers, contractors, or technical delivery teams while staying close enough to the work to understand effort, blockers, and quality risks
  • Strong understanding of agile software delivery and backlog management in a technical development environment
  • Ability to translate business needs into clear technical work items and help teams move from intake through build, testing, release, and sustainment
  • Strong communication skills with the ability to engage business users, developers, architects, security partners, and senior stakeholders
  • Ability to manage multiple delivery priorities, balance capacity, and make practical trade-offs in a fast-paced environment
  • Comfort with ambiguity and a willingness to take ownership of outcomes, unblock teams, and improve delivery practices
  • Working knowledge of AI agent and application development concepts, with hands-on background to guide developers and assess delivery risks 
  • Experience with Microsoft Power Platform, including Power Apps, Power Automate,Power BI,Dataverse, and related solution delivery practices 
  • Exposure to AI agent tools and generative AI capabilities such as Copilot Studio, Azure AI, Azure OpenAI, or similar platforms
  • Understanding of integrations, APIs, SharePoint Online, ServiceNow, Moveworks Agent Studio, or comparable enterprise platforms
  • Familiarity with agile delivery methods, DevOps basics, backlog management, testing expectations, and release readiness
  • Ability to evaluate estimates, sequencing, dependencies, risks, and trade-offs for AI agent and application development work
  • Relevant Microsoft, Azure, Power Platform, or AI certifications are considered an asset

This position requires written and oral fluency in English. The successful candidate will be required to support or collaborate with English-speaking colleagues or stakeholders nationally in our English speaking provinces while at KPMG.

KPMG BC Region Pay Range Information   

The expected base salary range for this position is $75,600 to $114,600 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. 

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $75,600 to $114,600 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME

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