AI Data Engineer

Address:

Hybrid role (2 days/week in the office)

#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.

Key Responsibilities

• 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 processing/understanding, content understanding, embeddings, search, LLM APIs) into production data workflows.
• Build, automate and maintain ETL/ELT pipelines using cloud‑native services and distributed processing frameworks
• Develop production‑grade services using Python and REST APIs to expose data and AI capabilities.
• Partner with leadership to clarify expected outcomes/vision and translate them into an executable build plan, architecture decisions, and delivery milestones.
• Develop feature engineering pipelines to support ML and GenAI use cases, including retrieval‑augmented generation (RAG).
• Own the development of AI data engineering standards, best practices, and reusable frameworks, driving consistency and quality across teams and platforms.
• Lead collaboration with cross‑functional teams to ensure clear, consistent definition and alignment of data input and output requirements.

Required Qualifications

• (1-3 years) Practical experience building and deploying production grade data pipelines including but not limited to (text, images, pdf documents, structured and unstructured data).

• (3-5 years) Experience sourcing data from storage services ( AWS S3, Azure Blob), API’s, Data warehouses, Data lakes, and file systems.
• (1-3 years) Experience building feature stores, and data marts for ML applications.
• (3-5 years) Experience in development of foundational Data lineage tracking and ensuring data quality.
• (3-5 years) Experience in data governance best practices – such as PII detection, data masking, and role-based access.
• (3-5 years) Experience with Gen AI use cases – LLM’s, RAG (Retrieval-Augmented generation), embeddings, chunking strategies.
• MUST HAVE TECH STACK– Python, Azure Data Factory, Azure Functions, Prompt engineering, Cosmos DB.

Nice to have:

• (1-3 years) Practical experience building and deploying production grade multi-modal data pipelines (Audio and Video files) data pipelines.
• (1-2 years) Leadership – Focus on reusable components, architecture, and design patterns. Emphasis on cost optimization techniques.
• (1-2 years) Leadership - Experience working with cross-functional teams. Concurrent development using Git and other source control tools, and CI/CD pipelines.
• Experience across Azure, AWS, and GCP.
• Experience with Synthetic data generation.
• Experience with multi-Agent setup and orchestration.
• Tech skills – Familiarity with Terraform, Cloud formation, Bicep, Azure fabric.

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.