Job Description

Application Deadline:

04/29/2026

Address:

100 King Street West

Job Family Group:

Technology

Hybrid role (2 days/week in office). Out of province candidates should consider relocating. This role is not eligible for Virtual/Remote work.

#ARCisHiring

Team Overview

We accelerate BMO’s AI journey by building enterprise-grade, cloud-native AI solutions. Our team combines engineering excellence with cutting-edge AI to deliver scalable, secure, and responsible solutions that power business innovation across the bank. We enable and accelerate our partners on their AI journeys across the enterprise, helping teams across BMO unlock value at scale. We are engineers, AI practitioners, platform builders, thought leaders, multipliers, and coders. Above all, we are a global team of diverse individuals who enjoy working together to create smart, secure, and scalable solutions that make an impact across the enterprise.

Our ambition is bold: deploy our capital and resources to their highest and most profitable use through a digital-first operating model, powered by data and AI-driven decisions.

What will you do   

• Contribute to the design and implement reliable, scalable data ingestion and integration pipelines for structured, semi-structured, unstructured data (e.g., databases, files, documents, APIs, events), and multi-modal data, ensuring data is AI ready, governed, secure, and observable.
• Experience applying data quality, validation, monitoring and testing frameworks in production pipelines. Ensure pipelines follow enterprise governance, access control, and security standards, including role-based access and lineage considerations. Monitor pipeline performance, troubleshoot failures, and optimize cost and throughput.
• Integrate AI services (e.g., document understanding, content understanding, embeddings, search, LLM APIs) into production data workflows.
• Operate and support production grade AI solutions to meet availability, reliability, and performance expectation.

• Partner with business stakeholders and data scientists in translating business requirements to data provisioning solutions .
• Accelerate development by building frameworks, automation scripts, and reusable code.
• Develop production‑grade services using Python and REST APIs to expose data and AI capabilities.
• Support production issues, including completion of root-cause analysis.
• Collaborate with cross‑functional teams to understand, define, and align on data input and output requirements for AI and analytics solutions.

Required Qualifications

• Bachelor Degree in Computer Science or Data Science
• 2-3 years of relevant experience as Data Engineer
• Exposure to generative agent data integration, agent taxonomy/labeling approaches and how to apply them to scale standardized development
• SQL, Python, Spark
• 2+ years of ETL/ELT development 
• Experience designing and maintaining CI/CD pipelines using GitHub Actions and CDK for Terraform.
• Hands-on experience across Microsoft Azure services (i.e., Fabric, Data Factory, Func apps) and AWS services.

• Familiarity with structured and non-structured datastore technologies 

• Ability to prioritize work and manage multiple work streams concurrently 
• Experience in statistical data analysis (e.g. univariate/bivariate analysis) and data quality assessment

Salary

$61,600.00 - $113,900.00

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.