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Added 5 hours ago
A
Senior Python Developer
Ampliwork
Brossard, QC
- Full-time
While experience with Generative AI and agentic systems is important, we are primarily looking for a strong senior Python engineer who knows how to build reliable, scalable enterprise…
Added 5 hours ago
A
Senior Python Developer
Ampliwork
Montreal, QC
- Full-time
While experience with Generative AI and agentic systems is important, we are primarily looking for a strong senior Python engineer who knows how to build reliable, scalable enterprise…
Added 1 day ago
AE
Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Toronto, Ontario, CN
American Express
Toronto, ON
- Full-time
…experiment, and make an impact from day one. As a Master’s-level AI Engineer Intern focused on AI Security Research in Enterprise Technology Services, you’ll join a 16-week Summer…
Added 1 day 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 1 day 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 1 day ago
C
Technology, Production Support, Summer Analyst, Mississauga, Canada, 2027
Citi
Mississauga, ON
- Full-time
…various organizations: Services, Markets, Banking, Functions and Data. This role offers a unique blend of business knowledge and technical expertise, empowering you to swiftly troubleshoot…
Added 1 day ago
C
Technology, Production Support, Full Time Analyst, Mississauga, Canada, 2027
Citi
Mississauga, ON
- Full-time
…various organizations: Services, Markets, Banking, Functions and Data. This role offers a unique blend of business knowledge and technical expertise, empowering you to swiftly troubleshoot…
Added 1 day 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…
Added 1 day ago
KG
Senior Data AI Engineer (GenAI & LLM)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking an experienced Senior Data AI Engineer to design, construct, and optimize the production data pipelines and architectures required to drive our enterprise Machine Learning…
Added 1 day ago
PR
Senior/Principal LLM & Evals Engineer
Perennial Resources International
Toronto, ON
- Full-time
We are seeking an experienced GenAI engineer with deep expertise in LLM evaluation, production-grade AI systems, and financial services. The successful candidate will design and improve…
Added 1 day ago
AI
Generative AI Engineer
Apptoza Inc.
Toronto, ON
- Contract
Lead the development and delivery of enterprise GenAI products, pilots, and scalable AI solutions.
Added 1 day ago
HR
AI Forward Deployed Engineer - CRM & Marketing
Hard Rock Digital
Remote, Canada
- Full-time
- Remote
We're hiring an AI Forward Deployed Engineer to build agentic and generative AI for CRM and Marketing. You'll ship production features, not prototypes, that help us acquire, engage, and…
Added 2 days ago
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Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
Straive is a global leader in enterprise-grade Data Analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert…
Added 2 days ago
Lead Data Engineer
Capgemini
Vancouver, BC
We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong…
Added 2 days ago
Lead Data Engineer
Capgemini
Vancouver, BC
We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong…
Added 2 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery…
Added 2 days ago
CC
Full Stack Engineer
Credit Counselling Society
New Westminster, BC
- Full-time
The Full Stack Engineer at the Credit Counselling Society is responsible for a number of key responsibilities to build on and support the successful operations of our business, enabling our…
Added 2 days ago
L
Senior Product Manager, Firm Intelligence Platform
Litera
Toronto, ON · Canada-Toronto, ON-Office
- Full-time
Experience in legal technology, professional services, or enterprise environments with complex, document-heavy, data-heavy workflows.
Added 2 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
A MarTech/AdTech Engineer with strong experience in Retail Media Networks, Advertising Platforms, Cloud Data Engineering, Salesforce Marketing Technologies, Snowflake/Databricks, Identity…
Added 2 days ago
AI
AI Platform Engineer with DevOps Experience
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Halifax, NS
- Full-time
AI Platform Engineer – DevOps, CI/CD, LLMOps & MLOps
Added 2 days ago
BC
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
- Part-time
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 2 days ago
TC
Full Stack Engineer
The Credit Counselling Society
New Westminster, BC
- Full-time
The Full Stack Engineer at the Credit Counselling Society is responsible for a number of key responsibilities to build on and support the successful operations of our business, enabling our…
Added 2 days ago
ZS
Senior L3 AI Engineer (JS-3)
Zodiac Solutions, Inc
Montreal, QC
- Full-time
Hands-on experience deploying and supporting AI/LLM products or M365 at enterprise scale; strong understanding of generative-AI concepts.
Added 2 days ago
S
Junior AI Engineer Co-op
symplistic.ai
Woodbridge, ON
- $23 CAD / hour
- Internship
As an AI Engineer Co-op at Symplistic.ai, you will work directly with our engineering team to design, develop, test, and deploy enterprise AI applications and AI agents.
Added 2 days ago
HO
AI Engineer
Hydro One
Toronto, ON
- $80 to $88 CAD / hour
- Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…

BMO

AI Engineer

Toronto, ON, Canada
BMOPLACE, Canada

$70,000.00 - $150,000.00

Apply About employer

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Job details

Pay: $70,000.00 - $150,000.00
Apply by: Oct 30, 2026
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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