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Bank of Montreal

Runs Canadian and US banks for people and firms

Senior Applied AI Scientist - Generative AI & Agentic Systems

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaIn-person

About the Job

Requirements

  • A Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or another relevant STEM discipline is required.
  • At least 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.
  • Strong programming skills and 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, Generative AI, Retrieval-Augmented Generation, AI agents, or related technologies.
  • Ability to learn new technologies quickly and adapt to a rapidly evolving AI landscape.
  • Strong analytical thinking, curiosity, and problem-solving skills.
  • A self-motivated approach, a strong sense of ownership, attention to detail, and a risk and control mindset.
  • A willingness to challenge assumptions, ask thoughtful questions, and continuously improve existing processes.

Responsibilities

  • Lead validation of Generative AI models and Agentic AI systems across conceptual soundness, output quality, agentic workflow, robustness, and alignment with governance and audit requirements.
  • Lead research and development of methodologies, testing approaches, and standards for validating emerging Generative AI technologies.
  • Architect, design, and build enterprise AI applications using Large Language Models, Retrieval-Augmented Generation, 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.
  • Evaluate emerging AI technologies and identify opportunities to improve existing solutions and validation approaches.
  • Apply research and critical thinking to unfamiliar problems, evaluate alternatives, and develop well-reasoned solutions.
  • Identify hidden issues, assumptions, dependencies, and risks.
  • Balance analytical depth with practical judgment and focus effort where it matters most.
  • Translate research and technical concepts into working solutions and tangible deliverables.
  • Apply advanced coding and technical problem-solving skills in production or enterprise environments.
  • Maintain current AI expertise and command of emerging technologies, industry developments, and evolving technical terminology.

Desired Qualifications

  • A PhD in a relevant discipline is an asset.
  • Hands-on experience with cloud AI platforms, modern AI development frameworks, or enterprise AI tools is strongly preferred.

About the Company

Bank of Montreal

Runs Canadian and US banks for people and firms

Bank of Montreal, known as BMO, runs a Canadian bank and a large American bank, serving households and businesses on both sides of the border. Until the Bank of Canada opened in 1935, it acted as the Canadian government's banker. People use its branches and apps for accounts, mortgages, credit cards, and investments, while companies borrow from it and turn to its BMO Capital Markets arm to raise money and trade securities. BMO makes money on the gap between the interest it charges on loans and pays on deposits, plus fees from managing wealth and advising on deals. Bank of Montreal was founded in 1817 as Canada's first bank, and it keeps its legal head office in Montreal and its executive offices in Toronto, Canada.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1817

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