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Added 15 days ago
GC
Data Engineer
GEI Consultants, Inc.
Markham, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 15 days ago
KC
Senior Flight Software Designer (6+ month Contract)
Kepler Communications Inc.
Canada
- Contract
We’re on the hunt for a top-tier Flight Software Engineer for a 6+ month contract. Your focus will be on the development and maintenance of flight software and embedded Linux software for…
Added 15 days ago
KC
FPGA Digital Design Engineer (6+ month Contract)
Kepler Communications Inc.
Canada
- Contract
We’re on the hunt for a top-tier FPGA Digital Design Engineer for a 6+ month contract to develop the next generation of our satellites.
Added 15 days ago
AL
AI DevOps Engineer - Ansible
Accion Labs
Canada
- Contract
Added 15 days ago
L
BACKEND Software Engineer (AI)
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, Vue, PostgreSQL, Snowflake and…
Added 15 days ago
L
Full-Stack Software Engineer (AI)
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, Vue, PostgreSQL, Snowflake and…
Added 15 days ago
AS
Lead Data Engineer
Alquemy Search & Consulting
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on experience with Python, PySpark, and SQL.
Added 15 days ago
B
Software Developer, DevOps
Benevity
Remote, Canada
- Full-time
- Remote
Practical programming ability in Python or similar languages for automation, maintaining the habits of a developer with version control and code review
Added 15 days ago
HA
Senior Software Engineer
H2 Analytics
Remote, Canada
- $120,000 to $170,000 CAD / year
- Full-time
- Remote
You are a well-rounded senior software engineer with at least 6 years of experience building complex web applications and backend services as a full-stack engineer, with a minimum of 2…
Added 15 days ago
GC
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 15 days ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 15 days ago
GC
Data Engineer
GEI Consultants, Inc.
Kitchener, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 15 days ago
IG
Artificial Intelligence Engineer
Insight Global
Toronto, ON
- $60 to $80 CAD / hour
- Contract
Insight Global is looking for an AI Systems Engineer to join a large banking client on a 6-month contract working hybrid in downtown Toronto 2 days/week onsite. The successful candidate…
Added 15 days ago
TC
Data AI Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should possess strong expertise in Python,…
Added 15 days ago
AI
AI Platform Engineer
Apptoza Inc.
Halifax, NS
- Full-time
Champion developer experience and DevOps best practices.
Added 15 days ago
EF
Senior Software Engineer, Finance System
Element Fleet Management
Toronto, ON
- Full-time
As a Senior Software Engineer, Finance System, you will design, develop, and maintain scalable software solutions that support Element’s enterprise financial systems and digital…
Added 15 days ago
A
SDET (Intermediate)
Actalent
Waterloo, ON
- $40 to $50 CAD / hour
- Contract
This Software Development Engineer in Test (SDET) role focuses on designing, developing, and maintaining automated test scripts and tools in Python to validate new features for advanced…
Added 15 days ago
A
Test Engineer
Actalent
Ottawa, ON · Nepean, ON
- $50 to $60 CAD / hour
- Contract
The Test Engineer supports new product introduction and manufacturing test for fiber optic lab test equipment within an Ottawa-based fiber optic lab and production test business unit. This…
Added 15 days ago
Full Stack Software Developer
GHD Group Pty Ltd
Waterloo, ON
We're on the lookout for an Intermediate Full-Stack Software Developer to join our Waterloo, Ontario office. You're a strong engineer with 5+ years of experience who enjoys solving real…
Added 15 days ago
AI
Senior Power Platform Engineer
Aptino, Inc.
Montreal, QC
- $45 to $50 CAD / hour
- Contract
We are looking for an experienced Senior Microsoft Power Platform Engineer with strong expertise in Power Apps, Power Automate, AI Builder, Copilot Studio, Dynamics 365, and Azure AI…
Added 15 days ago
BM
Generative AI Engineer
BULLIT MANAGEMENT SERVICES LIMITED
Mississauga, ON
- Full-time
We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should possess strong expertise in Python,…
Added 16 days ago
C
Applications Development Sr Programmer Analyst
Citi
Mississauga, ON
- Full-time
Are you ready to build the future of financial technology? We are seeking a passionate, high-performing Software Engineer (Java / AI) to join our dynamic Front Office Technology team.
Added 16 days ago
C
Technology, Production Support, Summer Analyst, Mississauga, Canada, 2027
Citi
Mississauga, ON
- Full-time
…empowering you to swiftly troubleshoot complex problems and engineer robust solutions. Your core mission will be to guarantee production stability, providing an always available and…
Added 16 days ago
C
Technology, Production Support, Full Time Analyst, Mississauga, Canada, 2027
Citi
Mississauga, ON
- Full-time
…empowering you to swiftly troubleshoot complex problems and engineer robust solutions. Your core mission will be to guarantee production stability, providing an always available and…
Added 16 days ago
AI Engineer
BMO
Toronto, ON · BMOPLACE
We are seeking an innovative AI Engineer to help drive the next generation of intelligent solutions across the enterprise. In this role, you will design, develop, deploy, and optimize…

BMO

AI Engineer

Toronto, ON, Canada
BMOPLACE, Canada

$70,000.00 - $150,000.00

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Job details

Pay: $70,000.00 - $150,000.00
Experience: 3-5+ years of experience in AI Engineering, Machine Learning Engineering, Software Engineering, or a related field.
Posting language: English
Posted: Oct 23, 2026

Original job description

Application Deadline:

10/29/2026

Address:

33 Dundas Street West

Job Family Group:

Technology

#AIJobsBFUTR

About the Role

We are seeking an innovative AI Engineer to help drive the next generation of intelligent solutions across the enterprise. In this role, you will design, develop, deploy, and optimize AI-powered applications, machine learning solutions, and intelligent automation capabilities that deliver measurable business value. You will partner closely with business stakeholders, data scientists, engineers, and technology leaders to identify opportunities where artificial intelligence can enhance customer experiences, improve operational efficiency, reduce risk, and accelerate decision-making.

The successful candidate combines strong software engineering expertise with practical experience in machine learning, generative AI, automation, and cloud technologies. You are passionate about transforming complex business challenges into scalable AI solutions and thrive in a fast-paced, collaborative environment.

Key Responsibilities:

AI Solution Development

Design, build, deploy, and maintain AI and machine learning solutions that address business priorities.
Develop and implement Generative AI, Natural Language Processing (NLP), predictive analytics, and intelligent automation use cases.
Build scalable AI applications, APIs, and services using modern software engineering practices.
Develop proof-of-concepts (POCs), prototypes, and pilot solutions to demonstrate business value and technical feasibility.
Integrate AI models into enterprise systems and workflows.

Machine Learning & Generative AI

Develop, train, evaluate, and optimize machine learning models.

Build and refine Retrieval-Augmented Generation (RAG) solutions, agent-based systems, and LLM-powered applications.

Fine-tune and evaluate AI models to improve performance, reliability, and business outcomes.

Collaborate with Data Science teams to operationalize models and deploy them into production environments.

Monitor model performance and implement ongoing improvements.

Business Partnership & Innovation

Partner with stakeholders to understand business challenges and identify AI opportunities.
Translate business requirements into technical designs and implementation plans.
Facilitate workshops, discovery sessions, and solution design discussions.
Create business cases and recommendations for AI investments and initiatives.
Stay current on emerging AI technologies, tools, and industry trends.

Engineering Excellence

Develop high-quality, secure, and maintainable code using enterprise standards.
Implement MLOps and DevOps practices to streamline model deployment and lifecycle management.
Establish monitoring, testing, governance, and performance frameworks for AI solutions.
Collaborate with infrastructure and security teams to ensure scalable and compliant deployments.
Contribute to best practices, standards, and reusable AI frameworks.

Project Delivery

Participate in Agile delivery environments and contribute to sprint planning, backlog refinement, and execution.
Manage project timelines, risks, dependencies, and technical deliverables.
Communicate project status, challenges, and recommendations to technical and business stakeholders.
Support production deployments and ongoing operational sustainability.

Required Qualifications

3-5+ years of experience in AI Engineering, Machine Learning Engineering, Software Engineering, or a related field.
Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, Mathematics, or a related discipline.
Hands-on experience developing machine learning and AI solutions in enterprise environments.
Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, or similar technologies.
Experience building and deploying Generative AI and Large Language Model (LLM) solutions.
Strong understanding of machine learning lifecycle management and MLOps practices.
Experience working with cloud platforms such as Azure, AWS, or Google Cloud.
Experience with API development, data integration, and software engineering best practices.
Knowledge of AI governance, security, risk management, and responsible AI principles.
Experience working in Agile delivery teams.

Preferred

Experience with Azure OpenAI, Copilot technologies, AI Agents, or Retrieval-Augmented Generation (RAG) architectures.
Experience implementing intelligent automation, process automation, or workflow orchestration solutions.
Familiarity with vector databases, knowledge management platforms, and semantic search technologies.
Experience in financial services, banking, or other highly regulated industries.
Relevant certifications in AI, cloud computing, or machine learning.

Skills & Competencies

Strong analytical and problem-solving abilities.
Excellent verbal and written communication skills.
Ability to influence and collaborate with technical and non-technical stakeholders.
Strong execution and project delivery skills.
Data-driven decision making.
Curiosity, adaptability, and a passion for innovation.
Ability to work independently while contributing to a collaborative team environment.

Why Join Us?

You'll have the opportunity to build cutting-edge AI solutions that directly impact customers, employees, and business outcomes. Working alongside technology, data, and business leaders, you'll help shape the future of AI adoption while solving meaningful enterprise-scale challenges. Ready to help define the future of AI? Apply today.

Salary:

$70,000.00 - $150,000.00

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 AI Engineer will design, develop, and deploy scalable AI and machine learning solutions to drive business value and operational efficiency. They will collaborate with cross-functional teams to operationalize models, implement MLOps practices, and integrate intelligent automation into enterprise workflows.

Requirements

Candidates must have 3-5+ years of experience in AI or software engineering and a bachelor's degree in a relevant technical field. Proficiency in Python, AI/ML frameworks, and cloud platforms is required, along with experience in Generative AI and MLOps practices.

Skills

Python
Machine learning
Generative AI
Natural language processing
Predictive analytics
Intelligent automation
TensorFlow
PyTorch
LangChain
Hugging Face
MLOps
DevOps
Cloud computing
API development
Agile
Data integration

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

AI Engineer
Machine Learning
Generative AI
Python
TensorFlow
PyTorch
LangChain
Hugging Face
MLOps
DevOps
Azure
AWS
Google Cloud
RAG
LLM
Natural Language Processing
Predictive Analytics
Intelligent Automation
Agile
API Development
Vector Databases
Semantic Search
Financial Services
Enterprise AI
Data Science
Software Engineering
Cloud Technologies
Responsible AI
Governance
Risk Management

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