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Added 8 mins ago
E
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- Full-time
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Added 2 hours ago
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…translate business requirements into reliable, scalable, and developer-friendly…
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Added 4 hours ago
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Senior Quality Assurance Engineer
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Added 8 hours ago
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Added 8 hours ago
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Software Development Manager, Platform Engineering
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Added 8 hours ago
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Added 9 hours ago
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Added 9 hours ago
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National Bank of Canada

Senior AI Scientist

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 8, 2026
Experience: A bachelor’s degree in computer science, engineering, mathematics, statistics, data science, machine learning or a related field and 2 to 5 years of relevant experience
Posting language: English
Posted: Oct 9, 2026

Original job description

A career as a Senior AI Scientist on the Model Risk Management team at National Bank means serving as an independent expert in the assessment of advanced artificial intelligence systems. This position allows you to have a concrete impact on the reliability, security and responsible use of the Bank's artificial intelligence solutions thanks to your expertise in AI assessment, quantitative analysis, software engineering and automation.
Your job

Design methodologies, metrics, reference data sets and acceptance criteria for evaluating AI systems
Assess LLMs, RAG systems, agents, voice, vision and multimodal solutions based on their risk profile
Build, maintain, and evolve agentic solutions for the purposes of model validation
Test adversarial tests, red teaming exercises and robustness, security and confidentiality analyses
Develop test environments, automated pipelines and reusable tools to improve validation efficiency
Clear, rigourous and evidence-based validation conclusions to inform decision-making
Contribute to the evolution of standards, risk management practices and requirements related to the implementation of artificial intelligence solutions.

Your team
Within the Model Risk Management sector, you are part of a specialized growth team and report to the Senior Manager – AI Model Risk Management. Our team stands out for its combination of in-depth expertise in artificial intelligence, data and automation, as well as its rigour in risk management. She works closely with development teams while maintaining the independence needed to ensure effective validation of solutions.
Our goal is to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment with the possibility of working in Toronto, Montreal or Edmonton.
The Bank values continuous development and internal mobility. Our personalized training programs, based on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center and coaching and mentoring support are available to you at any time.

Prerequisites

A bachelor’s degree in computer science, engineering, mathematics, statistics, data science, machine learning or a related field and 2 to 5 years of relevant experience
Experience in AI assessment, model validation, machine learning, software quality, red teaming or technology risk
Experience designing, deploying or maintaining AI agents, LLM applications, RAG systems or AI-based automation
Proficiency in Python, APIs, automated testing, data pipelines, version control and CI/CD practices
Experience designing metrics, test data sets, evaluation frameworks or statistical experiments.

Languages: French, English
Reason to require this language: you will need to discuss frequently with our service providers or partners who speak a language other than French.
Required skills: Artificial Intelligence, Cybersecurity, Empathy, Initiative, Large Language Model, Learning Agility, Python, Resiliency, Risk Management, Teamwork

Your benefits
In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:

* Health and wellness program, including many options
* Flexible group insurance
* Generous pension plan
* Employee Share Ownership Plan
* Employee and family assistance program
* Preferential banking services
* Involvement in community initiatives
* Telemedicine service
* Virtual sleep clinic

We have an offer that keeps up with trends as well as your needs and those of your family.

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.

Making a bold move in a people-first environment
We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.

We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?

Join us!

Apply About employer

More about this job

Responsibilities

Design evaluation methodologies, metrics, datasets, and acceptance criteria, and independently assess AI systems such as LLMs, RAG systems, agents, and multimodal solutions. Build validation agents, test environments, automated pipelines, and reusable tools; conduct adversarial, robustness, security, and confidentiality testing; and provide evidence-based conclusions that inform risk decisions and standards.

Requirements

Requires a bachelor’s degree in computer science, engineering, mathematics, statistics, data science, machine learning, or a related field, plus 2–5 years of relevant experience. Candidates should have experience assessing or validating AI systems and designing or maintaining AI agents, LLM applications, RAG systems, or AI automation, along with proficiency in Python, APIs, automated testing, data pipelines, version control, CI/CD, and evaluation methods.

Skills

Artificial Intelligence
Cybersecurity
Empathy
Initiative
Large Language Models
Learning Agility
Python
Resilience
Risk Management
Teamwork
Model Validation
Machine Learning
Red Teaming
Software Engineering
Automated Testing
CI/CD

Benefits

Health And Wellness Program
Flexible Group Insurance
Pension Plan
Employee Share Ownership Plan
Employee And Family Assistance Program
Preferential Banking Services
Community Initiatives
Telemedicine Service
Virtual Sleep Clinic

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Model Risk Management
Model Validation
Large Language Models
Retrieval-Augmented Generation
AI Agents
Multimodal AI
Machine Learning
Python
APIs
Automated Testing
Data Pipelines
Version Control
CI/CD
Evaluation Frameworks
Metrics
Test Data Sets
Statistical Experiments
Red Teaming
Adversarial Testing
Robustness Analysis
Cybersecurity
Confidentiality Analysis
Software Engineering
Automation
Technology Risk
Risk Management
Voice AI
Computer Vision

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