Jobs in Canada

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Added 3 days ago
B
Manager, AI Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
Hybrid with 2-3 days per week onsite
Added 3 days ago
O
Sr. AI Researcher, Agentic Systems
OpenSpace
Canada
- Full-time
The Sr. AI Research Engineer will build agentic systems that reason across the full OpenSpace data record: 360° imagery, point clouds, BIM models, drawing sets, and specifications, plus the…
Added 10 days ago
AI/ML Engineer
Conviva
Toronto, ON
We are looking for an AI/ML Engineer with strong machine learning fundamentals and hands-on experience in model development, training, and evaluation. In this role, you will work on…
Added 10 days ago
C
AI/ML Engineer
Conviva
Toronto, ON
- Full-time
We are looking for an AI/ML Engineer with strong machine learning fundamentals and hands-on experience in model development, training, and evaluation. In this role, you will work on…
Added 14 days ago
Sr. AI Researcher, Agentic Systems
OpenSpace
Canada
The Sr. AI Research Engineer will build agentic systems that reason across the full OpenSpace data record: 360° imagery, point clouds, BIM models, drawing sets, and specifications, plus the…
Added 22 days ago
A(
Machine Learning Resident - Client: Trufla (12 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
…tomorrow's insurance ecosystem. If you are an AI/ML researcher or engineer looking to apply your skills to address high-stake business problems with strict liability constraints, we want to…
Added 23 days ago
Senior Applied AI Engineer - Artificial Intelligence
Bloomberg
Toronto, ON
…over structured data. They bridge the gap between pioneering research and production, building models and agents that answer complex financial questions, write and execute code, and bring…
Added 1 month ago
P
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
- Full-time
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in…
Added 1 month ago
P
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
- $154,000 to $193,000 CAD / year
- Full-time
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in…
Added 2 months ago
K
Machine Learning Data Engineer
kadence
Montreal, QC
- Full-time
If you’ve worked on LLM training data, large-scale NLP pipelines, foundation-model infrastructure or web-scale data processing, I’d be interested in speaking with you.
Added 2 months ago
P
Principal AI Engineer
PointClickCare
Mississauga, ON
- Full-time
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in…
Added 3 months ago
PA
AI Modeling Engineer
Palona AI
Toronto, ON
- Full-time
We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety, latency, and cost of Palona's voice and multimodal agents. You will own problems across…
Added 2 months ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an es
Added 4 months ago
E
Staff Machine Learning Engineer
EvenUp
Toronto, Ontario
- $212,000 to $301,000 CAD / year
- Full-time
Drive data excellence through hands-on analysis of training and evaluation data, managing noise, edge cases, and drift at scale.

No more jobs.

BMO

Manager, AI Engineer

Toronto, ON, Canada
BMOPLACE, Canada

$80,000.00 - $175,000.00 · Full-time

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Applications open in a new tab.

Job details

Pay: $80,000.00 - $175,000.00
Job type: Full-time
Experience: Experience: Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Posting language: English
Posted: Nov 9, 2026

Original job description

Application Deadline:

11/09/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

Hybrid with 2-3 days per week onsite

Join our Data, AI Transformation & Analytics (D.A.T.A.) team and help transform how we deliver value through AI and automation. We’re looking for a Manager, AI Engineer, who is passionate about building, optimizing, and deploying AI and automation

solutions that make a real impact.

The Team

We enable and accelerate our partners on their data science and AI journeys, helping teams across BMO unlock value at scale. We are data practitioners, research scientists, visionaries, thought leaders, multipliers, coders, and automation builders. Above all, we are a global team of diverse professionals who enjoy working together to create smart, scalable solutions with impact across the enterprise.

What’s In It For You

You will be at the forefront of shaping the next generation of agentic and automation-first AI solutions. You’ll drive innovation, pushing the boundaries of how AI:

Automates complex business processes end-to-end,
Optimizes operational workflows for advisors and customers, and
Powers autonomous agents that free teams from repetitive, manual tasks.
You’ll have access to cutting-edge technologies, resources, and training opportunities, working alongside a diverse team of talented individuals to foster a culture of experimentation, automation, and scale.

What You’ll Do

Develop and Deploy AI Models: Build, fine-tune, and optimize Generative AI models (e.g., LLMs, NLP pipelines) for real-world use cases.
API & Application Development: Create and maintain APIs and microservices using FastAPI or similar frameworks to integrate AI into business workflows.
Experimentation & Prototyping: Rapidly prototype new ideas, test hypotheses, and iterate on solutions using creative thinking, data driven decision making, and problem solving skills
Data Preparation & Processing: Clean, transform, and manage large datasets for training and inference.
Model Evaluation & Monitoring: Implement evaluation metrics, monitor performance, and ensure models meet quality and compliance standards.
Automation & Optimization: Identify opportunities to automate processes and improve efficiency across the AI lifecycle.
Collaborate with Teams: Work closely with data engineers, ML engineers, and business partners to deliver production-ready solutions.

What We’re Looking For

Technical Expertise in:
- GitHub, Large Language Models, Lang chain Framework, AWS Bedrock, FastAPI, NLP Text Analysis, Machine Learning, Text Data Processing, Power Automate, Copilot Studio
Strong coding skills in Python and familiarity with ML frameworks
Problem-solving mindset: Ability to debug, optimize, and deliver robust solutions.
Good communication and influencing skills: Explain verbally and in written form technical concepts clearly to peers and stakeholders.
Experience: Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

Preferred Proficiency

Generative AI & Deep Learning
Cloud Platforms (AWS, MS Azure)
Data Integration & Pipelines

Salary:

$80,000.00 - $175,000.00

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 on bmo.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

The Manager, AI Engineer will develop, fine-tune, and deploy Generative AI models and microservices to automate complex business processes. They will also collaborate with cross-functional teams to monitor model performance and ensure solutions meet quality and compliance standards.

Requirements

Candidates should have 5-7 years of relevant experience and a post-secondary degree in a related field. Strong coding skills in Python and expertise in AI frameworks like Langchain and AWS Bedrock are required.

Skills

Python
Generative AI
Large Language Models
Langchain
AWS Bedrock
FastAPI
NLP
Machine Learning
Text analysis
Data preparation
Automation
GitHub
Power Automate
Copilot Studio
Microservices
API development

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Generative AI
LLM
NLP
Python
FastAPI
AWS Bedrock
Langchain
Machine Learning
Automation
Data Science
Microservices
API
GitHub
Power Automate
Copilot Studio
Data Analytics
Model Evaluation
Cloud Platforms
Data Integration
Deep Learning
Agentic AI
Operational Workflows
Data Preparation
Software Engineering

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Jobs in Canada