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Bank of Montreal

Associate, AI Engineer

Reposted 2 Days Ago
Be an Early Applicant
In-Office
Toronto, ON
Mid level
In-Office
Toronto, ON
Mid level
The Associate AI Engineer will oversee the data lifecycle, develop data asset processes, and manage integration while enhancing data quality and analytics tools. They will also support cloud data management implementations and work with stakeholders to resolve data issues.
The summary above was generated by AI

Application Deadline:

Address:

100 King Street West

Job Family Group:

Capital Mrkts Sales & Service

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: $90,000-$120,000 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 Us

At 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.

Top Skills

Big Data
Cloud Computing Architecture
Data Architecture Design
Data Integration
Data Mining
Data Security
Data Warehousing
Deep Learning
Machine Learning
Streaming/Real Time
HQ

Bank of Montreal Toronto, Ontario, CAN Office

First Canadian Place, 100 King Street, Toronto, Ontario, Canada, M5X 1A1

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