Data Analytics & Reporting

We are seeking a highly motivated Applied AI Scientist who is passionate about Generative AI and modern software engineering. This role offers an exciting opportunity to build enterprise AI solutions while helping shape industry‑leading practices for the validation and 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 early‑career AI skilled or a recent Master's or PhD graduate with strong coding skills, research or project experience, curiosity, and a passion for emerging AI technologies.

Validate the effectiveness 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.

Research and develop new methodologies for validating emerging Generative AI technologies.

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.

Work closely with business stakeholders to understand problems and translate them into practical AI solutions.

Design, execute, and document quantitative testing and evaluation of AI models and applications.

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.

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

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

Hands‑on experience with Python libraries and frameworks commonly used for AI application development, data processing, API integration, and software engineering (e.g., 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.

Hands‑on experience or academic projects involving Large Language Models (LLMs), Generative AI, Retrieval‑Augmented Generation (RAG), AI agents, or related technologies.

Familiarity with cloud AI platforms, modern AI development frameworks, or enterprise AI tools is an asset.





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

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

Loves building software and AI applications.

Is excited by the rapid evolution of Generative AI.

Has strong coding skills and enjoys solving complex technical problems.

Is interested in shaping the future of responsible AI adoption in financial services.

Salaries for part‑time roles will be pro‑rated based on number of hours regularly worked. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance‑based incentives, discretionary bonuses, as well as other perks and rewards.

BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. It calls on us to create lasting, positive change for our customers, our communities and our people. We strive to help you make an impact from day one – for yourself and our customers.

We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in‑depth training and coaching, to manager support and network‑building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

Accommodations are available on request for candidates taking part in all aspects of the selection process. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes. #

📌 Applied AI Scientist - Generative AI & Agentic Systems (Toronto)
🏢 Bank of Montreal
📍 Toronto