Ai Data Engineer (Toronto)

Ai Data Engineer (Toronto)

22 Oct
|
BMO
|
Toronto

22 Oct

BMO

Toronto

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.

Hybrid role – 2 days/week in office.

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 Microsoft Azure services and Microsoft ecosystem components with emphasis on Azure AI capabilities and “Foundry”, Fabric and Data Factory experience where applicable.
- Operate and support production‑grade AI solutions to meet availability, reliability, and performance expectations.
- Support production issues, including completion of root‑cause analysis.
- 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.
- Stay abreast of industry technical and business trends.

Required Qualifications
- 3‑5 years of relevant experience and IT education and/or certification(s) with 1+ years of generative agent data integration.
- 2+ years of experience in SQL and Python.
- 2+ years of ETL/ELT development.
- Experience designing and maintaining CI/CD pipelines using GitHub Actions and CDK for Terraform.
- Deep, hands‑on experience across Microsoft Azure services (Fabric, Data Factory, Function apps).
- Experience with Spark and cloud computing services (e.G., AWS).
- 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.
- Robust communication, collaboration, and problem‑solving skills.

Preferred / “Nice To Have”
- Experience with Azure AI Foundry / Microsoft “Foundry” tooling in AI solution enablement and governance/tuning workflows.
- Familiarity with agent taxonomy/labeling approaches and how to apply them to scale standardized development across teams.
- Background in designing enterprise‑grade platform layers (identity, access controls, registry/source‑of‑truth patterns) for agents.
- Knowledge of Financial Services industry.

Salary

$61,600.00 – $113,900.00

Pay Type

Salaried

About Us

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and their 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.

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📌 Ai Data Engineer (Toronto)
🏢 BMO
📍 Toronto

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