Find work in Canada.

331,200 jobs across our Canadian network. How we count

Jobs in Canada

Save this search

Senior Staff Cloud Security Engineer | Operational Technology | Office of CISO
ServiceNow
Edmonton, Alberta · Alberta, CANADA
Full-time
We employ the brightest and most forward-thinking Security Professionals on the planet. We have offices around the world and work as a global team. Come join the Office of the CISO and help…
Senior Platform & AI Systems Engineer
Zetron
Victoria, BC
$120,000 to $140,000 CAD / year
Full-time
Zetron is part of the Codan group of companies and is an established global leader in connecting communication centers with field operations, personnel, and constituents. With offices in…
Senior AI Native Software Engineer
Remitly
Burnaby, BC
Full-time
As a Senior AI Native Software Engineer, you direct AI agents to build products and solutions, rather than writing code directly. You leverage AI coding agents to replace manual tasks,…
Senior DevOps Engineer: Data & AI Platform
Assent
Ottawa, ON
$125,000 to $160,000 CAD / year
Full-time
The Senior DevOps Engineer, Data & AI Platform is a technical expert dedicated to the infrastructure behind Assent's Data & AI Platform. You bring strong senior-level DevOps expertise and…
Senior DevOps Engineer: Data & AI Platform
Assent
Ottawa, ON
$125,000 to $160,000 CAD / year
Full-time
The Senior DevOps Engineer, Data & AI Platform is a technical expert dedicated to the infrastructure behind Assent's Data & AI Platform. You bring strong senior-level DevOps expertise and…
Senior Supply Chain Security Engineer (East Coast Preferred)
Docker
Remote, Canada
Full-time · Remote
As a Senior Supply Chain Security Engineer, you will own substantial content and improvement work from upstream discovery through release and ongoing maintenance. You will be expected to…
Senior AI Native Software Engineer
Remitly
Canada
$152,000 to $190,000 USD / year
Full-time
…tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's…
Added 1 hour ago
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 7 hours ago
Senior software engineer: Applied AI
Morningstar
Toronto, ON
Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Senior OT Network and Security Engineer
CBRE
Toronto, ON
Full-time
As a CBRE Senior Network and Security Engineer, you’ll be responsible for the design, delivery, and operational excellence of building-level IT and OT networks across the portfolio.
Senior Software Engineer - Evisort AI (Python/Typescript)
Workday
Remote, Canada
Full-time · Remote
Evisort Engineering is growing! As a Senior Backend Software Engineer, you'll join a collaborative, cross-functional team working to enhance and expand our AI-driven contract management…
Added 1 hour ago
Senior Software Engineer, DevOps & Security
Klue
Remote, Canada
$140,000 to $230,000 CAD / year
Full-time · Remote
You'll work alongside the rest of the DevOps team, as well as engineering managers across Product, Data, and AI, and our Security and Compliance stakeholders.
Senior Lead Systems Engineer, AI & Automation
Braze
Toronto, ON
We're looking for a Senior Lead Systems Engineer who's passionate about building the next generation of enterprise technology through automation, software engineering, AI, and intelligent…
Senior Lead Systems Engineer, AI & Automation
Braze
Toronto, ON
Full-time
We're looking for a Senior Lead Systems Engineer who's passionate about building the next generation of enterprise technology through automation, software engineering, AI, and intelligent…
Senior Lead Systems Engineer, AI & Automation
Braze
Toronto, ON
We're looking for a Senior Lead Systems Engineer who's passionate about building the next generation of enterprise technology through automation, software engineering, AI, and intelligent…
Senior Machine Learning Engineer, AI Generation Engine
SandboxAQ
Remote, Canada
$119,000 to $210,000 CAD / year
Full-time · Remote
We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from…
Senior Data Engineer I - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, Ontario
Full-time
You'll be based in one of our North American offices as part of our global Data Engineering community. You'll work in cross-functional Agile teams alongside Data Scientists, Machine…
Added 8 hours ago
Senior Java Engineer – Backend & AI-Assistant Vice President
Citi
Mississauga, ON
Full-time
Citi is looking for a Senior Java Engineer to design and deliver high-performance backend systems at the intersection of enterprise software development and applied AI tooling. Based within…
AI Inference Core - Senior SW Engineer for Platform & DevOps
Cerebras
Toronto, ON
Full-time
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
Full-time
…cloud-native capabilities and AI solutions. Our team combines engineering excellence with cutting-edge AI to deliver scalable, secure, and responsible solutions that power business…
Senior Software Engineer - Data Platform & AI Automation
Diligent Corporation
Vancouver, BC
Comfort working directly with engineering, product, finance and security stakeholders.
Product Security Engineer, North Security
Cohere
Remote, Canada
$180,000 to $385,000 USD / year
Full-time · Remote
We're hiring a Senior Product Security Engineer to work these problems alongside the engineers building the products, reviewing architecture and code, threat modeling before implementation,…
Senior AI Developer / Développeur(se) IA senior
Aduna Global
Montreal, QC
Full-time
We are building the AI & Data team. You join as one of its first engineers and you report to the Head of Engineering. This is a hands-on role. You design, build and run AI systems in…
Senior Forward Deployed Engineer - Okta for AI Agents
Okta
Toronto, ON
…agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through…
Senior Software Development Engineer in Test (SDET) - AI Cluster
Cerebras
Toronto, Ontario
Full-time
…for build-in resiliency are some of the key focus areas. As senior software development engineer in Test, we are looking for a candidate who can make a big impact on how we test and…

BMO

Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration

Toronto, ON, Canada
FCP, Canada

Pay: $105,000.00 - $215,000.00
Job type: Full-time
Apply by: Sep 29, 2026

Apply About employer

Applications open in a new tab.

At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

Jump to the original description

Responsibilities

The Lead Data Engineer will design and implement scalable data ingestion and integration pipelines to support AI, machine learning, and Generative AI applications. They will also lead cross-functional initiatives, mentor team members, and ensure data quality and governance standards are met across the enterprise.

Requirements

Candidates must have 8-10 years of experience in data engineering or analytics, with at least 3 years in a technical delivery leadership role. Proficiency in SQL, Python, and cloud-based data platforms is required, along with a bachelor's degree in a quantitative field.

Experience

10+ years

Education

bachelor degree
postgraduate degree

Working hours

40 hours per week

Work arrangement

Hybrid

Skills

Data Engineering
Python
SQL
Azure Data Factory
Azure AI Search
Generative AI
Machine Learning
Data Governance
ETL/ELT
Cloud Platforms
Data Modeling
Stakeholder Management
Technical Leadership
RAG
Data Quality

Benefits

Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Applied AI
Data Ingestion
Data Integration
Cloud-native
Generative AI
RAG
Python
SQL
Azure
ETL
ELT
Data Governance
Data Quality
Machine Learning
MLOps
CI/CD
Agile
Financial Services
Model Risk Management
Data Modeling
API
Vector Databases
Power BI
Tableau
Data Lineage
Metadata Management
Multimodal Data
Enterprise Architecture
Technical Leadership

Original job description

Application Deadline:

09/29/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

HYBRID ROLE. This is an Individual Contributor role for a professional who can run initiatives and drive the results.

Team Overview

We accelerate BMO’s AI journey by building enterprise-grade, cloud-native capabilities and 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 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.

The Applied AI Data Ingestion & Integration (DII) team provides end‑to‑end services to help move, prepare, and operationalize data for AI and analytics workloads. As a Senior Manager within the (DII) Team, you will play a key role in enabling BMO's AI and advanced analytics capabilities by transforming complex business requirements into scalable data solutions. You will lead the analysis, profiling, integration, quality assessment, and operationalization of structured, semi-structured, and unstructured data used across AI, machine learning, and Generative AI applications.

This position involves close collaboration with various technology teams, Cross POD leads, Data Engineers, Data Scientists, Architects, AI and Data engineers, and Business stakeholders to push the adoption of Generative AI technologies and agentic flows across enterprise-wide applications and processes, and to develop partnerships with third-party providers for validating and adopting production-grade solutions. Your work will directly support the development of AI-ready datasets, multimodal document ingestion pipelines, Retrieval-Augmented Generation (RAG) solutions, Building various connectors, resources, and tools for (Model Context Protocol) MCPs.

This role requires deep technical expertise, strong engineering judgement, and the ability to lead through influence. The successful candidate will be expected to own technical outcomes, mentor engineers, manage ambiguity, and drive measurable improvements in platform capability, delivery quality, operational resilience, and business value.

Key Responsibilities:

Data Analysis & Integration Leadership

Deep hands-on technical leadership with enterprise data onboarding, ingestion, and integration initiatives supporting AI, analytics, and business intelligence use cases.
Lead and partner with Product Owners, Data Engineers, Data Scientists, and business stakeholders to translate business needs into actionable data requirements, data models, and integration strategies.
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.
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.
Document processes, share knowledge, and contribute to a culture of continuous learning and responsible innovation.

Data Quality, Governance & Compliance

Establish and monitor data quality standards, controls, and metrics to ensure accuracy, completeness, timeliness, and consistency.
Partner with Data Governance, Risk, Compliance, and Model Risk Management teams to ensure adherence to enterprise data policies, regulatory requirements, and Responsible AI standards.
Support data lineage, metadata management, data cataloging, and traceability capabilities across ingestion and integration platforms.

AI & Advanced Analytics Enablement

Collaborate with AI and Data Science teams to prepare, validate, and optimize datasets for machine learning, Generative AI, and advanced analytics applications.
Support multimodal data ingestion initiatives involving documents, images, audio, video, and enterprise knowledge repositories.
Analyze performance and effectiveness of chunking, indexing, retrieval, and data preparation strategies used in RAG and AI Search solutions.
Develop production‑grade services and AI capabilities using Python, REST APIS, JSON/XML, vector databases, RAG evaluation and retrieval metrics.
Develop analytical frameworks and KPIs to measure data platform effectiveness, ingestion performance, quality trends, and business outcomes.
Evaluate emerging AI and data management technologies and recommend opportunities to improve DII capabilities.

Stakeholder Management & Leadership

Lead cross-functional initiatives from discovery through production, partnering with business, technology, architecture, risk, security, and operations teams.
Provide mentorship and guidance to analysts and junior team members, fostering a culture of continuous learning and analytical excellence and technical accountability.
Communicate complex technical findings, risks, and recommendations to both technical and non-technical audiences, including senior leadership.
Own and drive continuous initiatives that increase automation, operational efficiency, and scalability of data ingestion and integration processes.

Required Qualifications:

8-10 years of experience in Data Engineering/ support, or related analytics disciplines, preferably within large enterprise environments.
3+ years experience as a Technical Delivery Leader (who owned the work)
Demonstrated experience in leading technical delivery for enterprise data integration, data warehousing, ETL/ELT processes, cloud data platforms, data governance, and production analytics or AI platforms.
Strong proficiency in SQL, Python, or similar, and experience working with large-scale datasets across cloud and on-premises environments.
Experience using analytical and visualization tools such as Power BI, Tableau, Python, Azure Data Factory, Azure AI Search, or equivalent technologies.
Strong communication and stakeholder management skills, with the ability to influence decisions across business and technology organizations.
Demonstrated ability to lead initiatives, manage priorities, and deliver results in fast-paced, highly regulated environments.
Familiarity with MLOps, CI/CD, and cloud-based AI infrastructure.
Knowledge of Agile delivery methodologies and experience working within cross-functional product teams.
Experience working within financial services, banking, risk, compliance, or other highly regulated industries is a plus.
Knowledge of Responsible AI, Model Risk Management, SR 11-7, OSFI E-23, or related governance frameworks is a plus.
Commitment to BMO’s values of inclusion, integrity, and responsible innovation.

Education

Bachelor’s degree in computer science, Information Systems, Data Analytics, Statistics, Engineering, Mathematics, Business Analytics, or a related quantitative field.
Master’s degree in data science, Analytics, Computer Science, Information Management, Business Administration, or a related field is preferred.
Relevant certifications in Data Management, Cloud Platforms (Azure/AWS), Analytics, AI, or Data Governance are considered an asset.

Salary:

$105,000.00 - $215,000.00

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.

Apply About employer

Report this job