Date limite pour présenter sa candidature :

11/29/2026

Adresse :

100 King Street West

Groupe de famille d'emploi :

Analyses des données et communication de l'information

About the Role We are seeking a highly motivated Sr. Applied AI Scientist with deep industry experience in Artificial Intelligence, Generative AI, and modern software engineering. This role offers an opportunity to lead the design, development, evaluation, and validation of enterprise AI solutions while helping shape industry-leading practices for the governance of Generative AI and Agentic AI systems in a highly regulated environment.

The successful candidate will join the Model Risk Management group and report to the Director, Generative and Agentic AI Model Validation.

This position is well suited for an experienced AI professional who combines strong technical depth, hands‑on delivery experience, sound judgment, and the ability to lead complex AI initiatives from concept through implementation and validation.

Key Responsibilities

Lead the validation of Generative AI models and Agentic AI systems across multiple dimensions, including conceptual soundness, output quality, agentic workflow, robustness, and alignment with governance and audit requirements.

Lead research and development of recent methodologies, testing approaches, and standards for validating emerging Generative AI technologies.

Architect, design, and build enterprise AI applications that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow automation to improve business processes.

Develop scalable software solutions, AI tools, and automation capabilities using modern AI frameworks and cloud technologies.

Partner with business, technology,



risk, and governance stakeholders to define complex problems and translate them into practical, scalable AI solutions.

Design, execute, review, and document quantitative testing and evaluation of AI models and applications, and provide technical guidance to project teams.

Maintain organized project documentation, technical specifications, testing evidence, and validation artifacts to support governance and audit readiness.

Continuously evaluate emerging AI technologies and identify opportunities to improve existing solutions and validation approaches.

Required Qualifications

Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or another relevant STEM discipline.

Minimum five years of industry experience in Artificial Intelligence and Machine Learning, including hands‑on experience delivering Generative AI solutions in a production or enterprise environment.

PhD in a relevant discipline is an asset.

Strong programming skills with the ability to develop scalable, well‑structured applications.

Familiarity with modern software development practices, including Git, version control, testing, and code reviews.

Understanding of machine learning fundamentals and experience applying quantitative analysis techniques.





Demonstrated hands‑on industry experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or related technologies.

Hands‑on experience with cloud AI platforms, modern AI development frameworks, or enterprise AI tools is strongly preferred.

Ability to learn new technologies quickly and adapt to a rapidly evolving AI landscape.

Strong analytical thinking, curiosity, and problem‑solving skills.

Self‑motivated with a strong sense of ownership, attention to detail, and a risk and control mindset.

Inquisitive by nature, willing to challenge assumptions, ask thoughtful questions, and continuously improve existing processes.

Who You Are

Applies research and critical thinking to unfamiliar problems, evaluating alternatives and developing well‑reasoned solutions.

Sees beyond the obvious, identifying hidden issues, assumptions, dependencies, and risks that others may overlook.

Balances analytical depth with practical judgment, focusing effort where it matters most.

Turns ideas into results, rapidly translating research and technical concepts into working solutions and tangible deliverables.

Demonstrates advanced coding and technical problem‑solving skills in production or enterprise environments.

Demonstrates deep and current AI expertise, with strong command of emerging technologies, industry developments, and evolving technical terminology.

Salaire : $80,000.00 - $175,000.00

Type de rémunération : Salaire

Ce qui précède représente la fourchette et le type de rémunération de BMO Groupe financier.

Les salaires varieront en fonction de facteurs comme l’emplacement, les compé

📌 Sr. applied ai scientist (Canada)
🏢 BMO Financial Group
📍 Canada