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Senior Integrations Developer / AI Data Integration Engineer
Engineered Intelligence Inc.
Mississauga, Ontario
Full-time
We are looking for an experienced and hands-on Senior Integrations Developer / AI Data Integration Engineer to help lead the evolution of our modern data integration platform. This role…
Senior DevOps Software Quality Automation Tools Engineer
General Motors
Markham, ON
Full-time
As a Senior Software Quality Automation Developer, you will Lead the design and development of internal platforms, tools and automation frameworks that support engineering teams across the…
Senior Software Engineer, R&D Business Systems
Fivetran
Toronto, ON
We’re looking for a Senior Software Engineer within our Engineering Strategy and Operations group. Our Research and Development (R&D) department is dedicated to accelerating innovation.…
Added 2 days ago
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
Full-time
Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and…
Senior MLOps Engineer | Ingénieur·e MLOps senior
Jesta I.S.
Montreal, QC
Full-time
We are looking for a Senior MLOps Engineer to design, build, and maintain the data and machine learning pipelines that power our AI and analytics platforms.
Quality Assurance Engineer
Teacup Tech Systems
Canada
Contract
Teacup Tech Systems is looking for Senior QA Test Engineer
Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
Full-time
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…
Senior Engineer QA
Generac Power Systems
Remote, Canada
Full-time · Remote
Our Embedded QA team is looking for a Senior QA Engineer to work within the Device Platform group. You’ll work closely with the Product Stakeholders, Firmware Developers, Hardware…
Senior Electrical Engineer
NOMAD Transportable Power Systems
Montreal, QC
$130,000 to $160,000 CAD / year
Full-time
The Electrical Engineer will serve as the onsite electrical engineering and manufacturing support resource at our manufacturing facility. This role will work closely with corporate…
Senior Systems Integrator – Enterprise BAS/BMS (SIBA001)
Potenco
Toronto, ON · Greater Toronto Area, Canada
Full-time
The Senior Systems Integrator will work closely with the Solution Architect / Lead EBO Engineer, Controls Specialists, field teams, commissioning personnel, Project Managers, and other…
Automation Engineer - Senior
Linamar Corporation
Guelph, Ontario
Full-time
The Senior Automation Engineer designs, integrates, programs, and improves automated manufacturing systems to ensure safe, efficient, and high quality production. This role leads automation…
Senior Software Engineer, QA
Unity Technologies
Montreal, QC · CAN-Montreal
Full-time
We are seeking a Senior Quality Engineer to join a newly established engineering team within the Unity Platforms Organization. This team is responsible for delivering Unity platform support…
Intermediate / Senior Test Engineer
Netskrt Systems Inc.
BC
$90,000 to $120,000 CAD / year
Full-time
Netskrt is looking for a talented, results-driven Intermediate/Senior Test Engineer to join the Netskrt team. We are a highly motivated team dedicated to delivering products and services…
Senior Quality Engineering Specialist
NDI (Northern Digital Inc.)
Waterloo, Ontario
Full-time
Senior Quality Engineering Specialist (Medical Device)
Sr. Systems Engineer
Mosaic Manufacturing
Toronto, Ontario
$90,000 to $120,000 CAD / year
Full-time
We are looking for a Senior Systems Engineer to own the definition, integration, and validation of end-to-end workflows for our automated production systems. You will lead application-level…
Intermediate Marine Systems Engineer
BMT
Ottawa, ON
$85,000 to $105,000 CAD / year
Full-time
Job Title: Intermediate Marine Systems Engineer
Junior Marine Systems Engineer
BMT
Ottawa, ON
$70,000 to $83,000 CAD / year
Full-time
The Junior Marine Systems Engineer is responsible for professionally and efficiently executing work in support of client taskings in the field of Marine Systems Engineering.
Senior Project Engineer
KBR, Inc.
Nisku, AB · Calgary, AB
Full-time
KBR is seeking an experienced Senior Project Engineer to lead full‑lifecycle delivery of midstream assets supporting unconventional oil development and enhanced oil recovery (EOR) programs…
DevOps Engineer - Senior
Symbiotic Digital
ON · Downtown Toronto (CN Tower / King and Spadina / Railway Lands / Harbourfront West / Bathurst Quay / South Niagara / YTZ), Ontario
Contract
We are seeking a Senior DevOps/Cloud Engineer to support the
Ingénieur(e) Full Stack Senior, HTS Assist// Senior Full Stack Engineer (Realtime & Voice) Customer Experience Platform
Hopper
Remote, Canada
Full-time · Remote
Integration Engineer
Global Partner Solutions
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
This position is ideal for a senior aerospace professional with extensive experience in aircraft structural design, technical integration, and cross-functional engineering leadership. You…
Quality Engineer - 6-month contract
OTIP (Ontario Teachers Insurance Plan)
Waterloo, ON
Contract
Reporting to the Senior Manager, DevOps & System Integration, the Quality Engineer is responsible for creating, reviewing, executing, and documenting the tests necessary to ensure that…
Quality Engineer - 6-month contract
OTIP Group of Companies (OTIP, Orbit, Curo)
Waterloo, ON
Reporting to the Senior Manager, DevOps & System Integration, the Quality Engineer is responsible for creating, reviewing, executing, and documenting the tests necessary to ensure that…
Systems Safety Engineer
GFT.
Edmonton, AB · Vancouver, BC · Mississauga, ON · Toronto, ON
Full-time
Under the supervision of a Senior Systems Safety Engineer or Systems Assurance Manager, the Safety Engineer supports the execution of system safety, safety assurance, and safety…
Senior Software Engineer
USA Tech Recruit
Toronto, ON
Full-time
The role is strongly frontend-focused but requires a solid understanding of backend systems and API integrations. You will work with React, TypeScript, GraphQL, and modern testing…

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 30, 2026
Posting language: English
Posted: Sep 2, 2026

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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.

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More about this job

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.

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

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