Applied AI Scientist – Generative AI & Agentic Systems

Bank of Montreal; Toronto; On-site; CAD 67,000 - 124,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

Bank of Montreal in Toronto seeks an Applied AI Scientist to advance validation of Generative AI and Agentic AI systems in a regulated environment. You will design enterprise AI apps using LLMs, RAG, and automation, building scalable software and documenting validation artifacts.

The role emphasizes strong Python coding, modern AI frameworks, and collaboration with business stakeholders to translate problems into practical AI solutions.

Qualifications

• Masters degree in CS, AI, ML, SE, Data Science or STEM.
• Strong Python programming and scalable software development.
• Experience with ML fundamentals and quantitative analysis.
• Experience with LLMs, Generative AI, or RAG.
• Familiarity with cloud AI platforms and enterprise tools.

Responsibilities

• Validate Generative AI models and agentic AI systems across dimensions.
• Design and build enterprise AI apps using LLMs, RAG, and workflows.
• Develop scalable AI tooling and automation capabilities.
• Collaborate with stakeholders to translate problems into AI solutions.
• Document testing and governance artifacts for audit readiness.

Skills

Python

Git

Analytical thinking

Problem-solving

Cloud concepts

Education

Master's degree in Computer Science, AI, ML, Software Engineering, Data Science or STEM

Tools

FastAPI

Pydantic

Requests

NumPy

Pandas

Job description

Application Deadline:Address:100 King Street WestJob Family Group:Data Analytics & ReportingAbout the RoleWe 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 professional or a recent Master's or PhD graduate with strong coding skills, research or project experience, curiosity, and a passion for emerging AI technologies.Key ResponsibilitiesValidate 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.Required QualificationsMaster'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., NumPy, Pandas, Requests, FastAPI, Pydantic, or similar).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.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 AreWe're looking for someone who:Loves building software and AI applications.Is excited by the rapid evolution of Generative AI.Learns new technologies quickly and enjoys experimenting with them.Is self-motivated and proactive.Has strong coding skills and enjoys solving complex technical problems.Thinks critically and approaches problems with curiosity.Works well in collaborative, multidisciplinary teams.Is interested in shaping the future of responsible AI adoption in financial services.Salary :$67,200.00 - $124,200.00Pay Type:SalariedThe above represents BMO Financial Group’s pay range and type.Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.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. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-RewardsAbout UsAt BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. 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.To find out more visit us at https://jobs.bmo.com/ca/en .BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.