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Vice President, AI Engineer

bmo

Toronto, CAonsite$120k-$150k/yrPosted May 1, 2026

At a glance

Highlights

  • Senior leadership role at a major bank
  • Focus on generative and agentic AI
  • Competitive compensation and benefits
  • Access to advanced AI infrastructure

Why this role might suit you

Senior AI Engineer opportunity at a leading financial institution, delivering cutting‑edge generative and agentic AI solutions for investment banking, with competitive salary, professional growth, and impact on large‑scale financial operations.

Skills

pythontensorflowpytorchllmagentic-ailangfuselanggraphmilvusdistributed-computingdockerkubernetesinfrastructure-as-codereinforcement-learningmulti-agent-systemsmicroserviceobservabilitymonitoringcybersecuritydata-qualityprivacy-preserving

About the role

Application Deadline:

Address: 100 King Street West

Job Family Group:

Capital Mrkts Sales & Service, Data Analytics & Reporting

BMO Capital Markets is a leading, full-service North American-based financial services provider, with over 2,700 professionals in 30 locations around the world, including 20 offices in North America, offering corporate, institutional and government clients access to a complete range of investment and corporate banking products and services. BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North America with US$1.0 trillion total assets and approximately 54,000 employees as of January 31, 2025.

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 details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

Compensation

This Machine Learning Engineer role pays $120k-$150k/yr. Within typical range for machine learning engineer roles in Canada.

Questions about this role

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