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Generative Ai Testing Jobs in Quebec (NOW HIRING)

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 ...

... testing. * Maintain product direction and priorities aligned with the broader business goals ... Experience with AI-enhanced products including generative AI is preferred. * Knowledge of product ...

... testing. * Maintain product direction and priorities aligned with the broader business goals ... Experience with AI-enhanced products including generative AI is preferred. * Knowledge of product ...

... generative AI) within the platform. * Ensure platform scalability and uptime for high-volume ... Automated testing frameworks: Playwright * Identity and access management: OAuth 2.0, Role-Based ...

... testing, and deploying solutions with the SAP BTP. * Familiarity with SAP Cloud, HANA, and other SAP cloud platforms. * Proven experience in developing solutions using Python and Generative AI.

Tester, analyser et optimiser continuellement les campagnes selon les indicateurs de performance ... Piloter et soutenir les initiatives de GEO (Generative Engine Optimization) * Rester a l'affut des ...

... Generative Engine Optimization) Rester à l'affût des tendances du marketing numérique et ... Permanent, Full-Time About EXFO EXFO is an industry leader in network testing, monitoring, and ...

Tester, analyser et optimiser continuellement les campagnes selon les indicateurs de performance ... Piloter et soutenir les initiatives de GEO (Generative Engine Optimization) * Rester à l'affût ...

... Generative Engine Optimization) Rester à l'affût des tendances du marketing numérique et ... Permanent, Full-Time About EXFO EXFO is an industry leader in network testing, monitoring, and ...

Tester, analyser et optimiser continuellement les campagnes selon les indicateurs de performance ... Piloter et soutenir les initiatives de GEO (Generative Engine Optimization) * Rester à l'affût ...

Tester, analyser et optimiser continuellement les campagnes selon les indicateurs de performance ... Piloter et soutenir les initiatives de GEO (Generative Engine Optimization) * Rester à l'affût ...

Tester, analyser et optimiser continuellement les campagnes selon les indicateurs de performance ... Piloter et soutenir les initiatives de GEO (Generative Engine Optimization) * Rester à l'affût ...

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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:
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.
Lead Messaging Engineering Specialist (Hybrid)

Lead Messaging Engineering Specialist (Hybrid)

Morgan Stanley

Montreal, QC • Hybrid

Full-time

Posted 2 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

39th of 146 rated financial services


Job description

We're seeking someone to join our WTS Messaging and Conferencing team as a Lead Messaging Engineering Specialist in Workforce Technology and Services to enhance, integrate, automate and support the Messaging platforms operated by the firm. The candidate will be expected to provide daily operational support, engineering and design of new and custom solutions for Morgan Stanley's' Messaging squad.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Software Engineering position at Vice-President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on...

What you'll do in the role:

  • System management and upkeep of the production environment

  • Representing and managing the system with control functions such as internal audit, legal, security teams

  • Problem diagnosis, troubleshooting, escalation and notification.

  • Ability to convey procedures for operational support of the system, provide training to other groups to share expertise

  • Run book documentation - inventories, problem resolution processes, documentation

  • Testing of server upgrades and patch deployment

  • Python or PowerShell software development to drive archiving, provisioning, reporting and productivity improvements in communications technologies (chat messaging and meetings/ unified communications)

  • Update and maintain existing scripts and toolset

  • Successful navigation of code and security reviews

  • Ability to interface with scripting stakeholders to drive improvements, fixes

  • Understanding of design and implementation of communications technology infrastructure, to drive efficient design of software interfaces to those platforms

  • Ability to work with developers and operational technologists to successfully implement /rollout and debug solutions


What you'll bring to the role:

  • A minimum of 7+ years of IT experience delivering solutions within enterprise technology environment

  • Technical experience with managing one or more of the following products: ChatGPT, M365 Copilot, Teams, Slack, Zoom, Grok, Claude

  • Knowledge of security practices and review including application configuration through web proxies, customer managed encryption of data at rest, and networking concepts.

  • Awareness of Generative AI tools, with an understanding of data protection and governance considerations in AI-enabled environments.

  • Awareness of AI governance frameworks, risk monitoring, and compliance best practices.

  • Self-starter with good interpersonal skills to facilitate working with stakeholders, end-users and other IT colleagues.

  • Professional ownership of issues with good organizational skills; Ability to plan and prioritize

  • Proven troubleshooting skills in a support environment with a strong sense of commitment and drive towards problem resolution

  • Familiarity tracking and working using agile concepts such as Kanban/Scrum

At Morgan Stanley Montreal, we support the Firm's global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area's highly skilled technology talent. There's ample opportunity to move across the businesses for those who show passion and grit in their work.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

Build a career with impact. Visit morganstanley.com for more information.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.


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