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Ai Monitoring Jobs in Quebec (NOW HIRING)

Implementing monitoring, logging, and observability for deployed AI solutions in alignment with monitoring infrastructure. * Perform ongoing maintenance, optimization, retraining, and tuning of ...

Support deployment and monitoring of AI solutions using Azure AI Services, Azure Machine Learning, Microsoft Fabric, and related cloud technologies. * Participate in CI/CD practices for AI and ...

Monitor performance, cost, reliability, and output quality of agents and pipelines in production, and build observability into these systems * Integrate LLM APIs and third-party AI services into our ...

Define and monitor KPIs, adoption, usage, performance, customer satisfaction, and value realization; use insights to continuously improve products. * Act as the product owner and champion for AI ...

Implement development best practices, including testing, CI/CD, observability, monitoring, and ... Contribute to AI standards, reusable components, and development practices that support CIMA ...

AI Analyst

Montreal, QC ยท On-site

Supporting user acceptance testing (UAT) and monitoring usage and performance of AI-enabled tools to identify improvement opportunities. * Helping build user confidence and capability with AI-enabled ...

Supporting user acceptance testing (UAT) and monitoring usage and performance of AI-enabled tools to identify improvement opportunities. * Helping build user confidence and capability with AI-enabled ...

Supporting user acceptance testing (UAT) and monitoring usage and performance of AI-enabled tools to identify improvement opportunities. * Helping build user confidence and capability with AI-enabled ...

Lead operational monitoring, troubleshooting, and incident support, including vendor escalation ... Support AI governance partnering with Risk, Legal, and InfoSec to ensure responsible use within ...

Lead operational monitoring, troubleshooting, and incident support, including vendor escalation ... Support AI governance partnering with Risk, Legal, and InfoSec to ensure responsible use within ...

Lead operational monitoring, troubleshooting, and incident support, including vendor escalation ... Support AI governance partnering with Risk, Legal, and InfoSec to ensure responsible use within ...

Design end-to-end AI solutions, including data pipelines, model development, training, deployment, and monitoring architectures. * Ensure seamless integration of AI capabilities with data platforms ...

New

AI Application Developer Who We Are: Quadbridge is a fast-growing North American IT solutions ... Conduct testing, document solutions, and monitor, troubleshoot, and optimize deployed agents for ...

Actively monitor developments in AI technology and their business applications What we offer* * Competitive salary and annual bonus * 4 weeks of flexible vacation starting in the first year * Defined ...

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Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

What are some common challenges faced by professionals in AI monitoring roles, and how can they be addressed?

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

What are the key skills and qualifications needed to thrive as an AI monitoring specialist, and why are they important?

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Ai Monitoring jobs in Quebec?

For Ai Monitoring jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Ai Monitoring jobs in Quebec look for?

The top searched job categories for Ai Monitoring jobs in Quebec are:

Infographic showing various Ai Monitoring job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution.

Responsible AI & Data Governance Lead

Montreal, QC โ€ข On-site

Full-time

Medical, Retirement, PTO

Re-posted yesterday


Job description

Responsible AI & Data Governance Lead

We are seeking a Responsible AI & Data Governance Lead to support in developing and implementing Law Zero's data governance and responsible AI practices. The role is embedded within the Legal & Governance team but works closely with the research, data, product and evaluations team.

Key Responsibilities:

  • Data Governance: Design and implement, in collaboration with the Data and Legal teams, LawZero's data governance practices and policies, including on sourcing and acquisition; integrity, inventory, provenance and lineage; licensing and IP; and synthetic data governance.PII & Privacy Protection: In collaboration with the Data and Legal teams, develop and implement procedures for identifying, redacting, and securely handling Personally Identifiable Information in research datasets and product inputs.
  • Responsible AI:ย  Monitor emerging AI governance frameworks; develop and implement the adequate controls and processes. Embed ethics and responsible AI considerations in the product development lifecycle and applied use case projects.
  • Research and Development Integrity: Ensure research methodologies are documented to a standard that supports verification, replication, and audit; maintain SOPs for publication, open source releases, and dataset sharing.
  • Dual-Use & Bias Risk Management: In collaboration with the Evaluations team, conduct dual-use evaluations for research outputs with potential for harmful application; ; coordinate comprehensive technical testing and safety evaluations, including bias and fairness review, and maintain documentation of testing methodologies and results for all research tools and products before external deployment.
  • Internal AI Tool Governance: Establish and manage policies and controls for the responsible deployment of third-party and internal AI tools for use by LawZero employees, in coordination with the legal and IT teams.
  • AI Policy: Support the VP Legal & Governance and broader team in AI governance and policy initiatives.ย 

Skills and qualifications:

  • 5 to 7 years of experience in responsible AI, data governance, and/or technology legal/compliance roles.
  • Technical literacy sufficient to understand AI/ML research methodologies, data & training pipelines, and AI product development and deployment.
  • Demonstrated experience with data governance, data provenance systems, or AI governance in a technical context.
  • Familiarity with AI governance frameworks including the EU AI Act, NIST AI RMF, ISO 42001, and Canada's voluntary AI standards.
  • Strong process orientation, documentation discipline, and ability to build systems from scratch in an early-stage organization.

What we offer

  • The chance to contribute meaningfully to a globally critical initiative
  • Comprehensive health benefits (including mental health and wellness management account)
  • 20 days of vacation per year upon start
  • Employer contribution of 4% to your retirement savings, with no required employee match
  • Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
  • A team of passionate world-class experts in their field
  • A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation