Bank of Montreal

Vice President, AI Engineer

Bank of Montreal$120K — $150K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Intermediate proficiency in mathematics, statistics, and operations research.
  • Intermediate proficiency in deep learning and machine learning.
  • Knowledge of trust, bias, and ethics in data.
  • Strong creative and critical thinking skills required.
  • 5-7 years of relevant experience and a degree in a related field.

Responsibilities

  • Utilize advanced analytics to drive insights from large data sets.
  • Design and construct new data modeling processes.
  • Develop and implement predictive models and machine learning algorithms.
  • Collaborate with teams to support data-driven business decisions.
  • Conduct large-scale analysis to identify trends and patterns.

Benefits

  • Health insurance coverage.
  • Tuition reimbursement for continued education.
  • Retirement savings plans to secure your future.
  • Access to performance-based incentives and bonuses.
  • Discretionary bonuses based on individual or company performance.
Full Job Description
Application Deadline:

Address:
100 King Street West

Job Family Group:

Capital Mrkts Sales & Service, Data Analytics & Reporting

About the Role

We are seeking a talented AI Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, develop, and deploy advanced AI solutions with a focus on Agentic AI, Generative AI, and Large Language Models (LLMs). You will work on applied science and engineering aspects of AI, building scalable, secure, and high-performing systems that deliver value across Investment Banking and Global Markets.

Our Team

The Data Cognition Team (DCT) at BMO Capital Markets delivers a scalable, customizable, and sustainable suite of AI-enabled products for multiple business units. We leverage cutting-edge AI research and technologies to solve complex business challenges and drive strategic transformation across Investment Banking, Global Markets, and other divisions.

Key Responsibilities
• Design, develop, and maintain Agentic AI and Generative AI solutions, including multi-agent systems for collaborative decision-making.
• Implement distributed compute solutions for AI workloads, optimizing performance and scalability.
• Architect and deploy microservice-based AI systems using containerization and infrastructure-as-code tools.
• Integrate AI-driven data quality techniques and privacy-preserving technologies into solution designs.
• Apply cybersecurity principles to ensure secure AI deployments, particularly for Agentic and Generative AI systems.
• Optimize inference pipelines and parallelize processing to reduce latency and improve system performance.
• Develop observability and monitoring solutions for AI models and systems, ensuring reliability and compliance.
• Collaborate with stakeholders to understand business needs and translate them into AI-driven solutions.
• Stay current with emerging AI research, tools, and best practices to continuously improve capabilities.

Qualifications
• Bachelor's or Graduate degree in Computer Science, Engineering, Physics, or related technical field.
• Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch).
• Deep understanding of LLM architectures and applied generative AI techniques.
• Familiarity with Agentic AI tools and orchestration frameworks (e.g., Langfuse, LangGraph, Milvus).
• Experience with distributed computing, containerization (Docker, Kubernetes), and infrastructure management.
• Knowledge of reinforcement learning and multi-agent systems.
• Strong problem-solving and analytical skills with an engineering mindset.
• Excellent communication skills for collaboration with technical and business stakeholders.

Nice to Have
• Financial domain knowledge: investment banking concepts, trading strategies, and financial data formats.
• Certifications in AI engineering, cloud platforms, or cybersecurity.
• Experience with privacy-preserving AI techniques and Responsible AI frameworks.

What We Offer

Join our team at BMO Capital Markets and contribute to solving complex challenges in investment banking and global markets using cutting-edge AI technologies. We offer opportunities for professional growth, access to advanced tools, and the chance to make a significant impact on critical business operations. Apply today with your resume, highlighting your experience in AI engineering and finance.

Base Salary: $120,000-$150,000 CAD

(subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

Salary:

Pay Type:

Salaried

The 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-Rewards

About Bank of Montreal

The Bank of Montreal is a Canadian multinational investment bank and financial services company. It provides a wide range of personal and commercial banking, wealth management, and investment banking products and services. The bank had revenues of CAD 23.6 billion in 2020.
Learn more about Bank of Montreal
Size
45,454 employees
Market Cap
$60.9 billion
Industry
Founded
1817
5 Year Trend
+9.1%
NASDAQ

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