Jobs in Canada

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Added 10 days ago
R&
Staff AI Developer - Toronto
Robots & Pencils
Toronto, ON
- Full-time
We’re looking for a Staff AI Builder to lead the design and delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently…
Added 10 days ago
Staff AI Developer - Vancouver
Robots and Pencils
Vancouver, BC
We’re looking for a Staff AI Builder to lead the design and delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently…
Added 10 days ago
Staff Engineer / AI Builder - Toronto
Robots and Pencils
Toronto, ON
We’re looking for a Staff AI Builder to lead the design and delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently…
Added 11 days ago
JG
Full Stack Engineer – Self-Service & Agentic Data Platform
J&M Group
Toronto, ON
- Contract
Knowledge of GenAI, LLMs, RAG, vector databases, knowledge graphs, and LangChain/LangGraph.
Added 15 days ago
B
Software Engineer - Model Performance Systems
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
…defining the roadmap, driving key technical decisions, and taking full ownership of the future of this…
Added 15 days ago
B
Software Engineer - Model Performance Systems
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
…defining the roadmap, driving key technical decisions, and taking full ownership of the future of this…
Added 18 days ago
V
Senior Full Stack Engineer
Viamo
Remote, Canada
- $100,000 to $140,000 CAD / year
- Full-time
- Remote
As a Senior Full Stack Engineer at Viamo, you and your team will be responsible for multiple exciting projects. You will be building, maintaining, and scaling a large-scale platform that…
Added 22 days ago
S
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
We are seeking a Senior Full Stack AI Engineer who can combine strong hands-on software engineering with technical engagement and project delivery leadership. The successful candidate will…
Added 23 days ago
AI
Full Stack Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are seeking an experienced Lead Full Stack Engineer with strong Java/Python backend development, React frontend expertise, and hands-on knowledge of Generative AI and Agentic AI. The…
Added 25 days ago
TC
AWS Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 29 days ago
A
Azure Enterprise Architect - Full Stack & AI Solutions (Canada)
Avanade
Toronto, ON
- Full-time
We are seeking a highly experienced Azure Enterprise Architect with a strong full stack engineering background and deep expertise in Microsoft Azure cloud architecture, enterprise…
Added 1 month ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
We are looking for a Full Stack Developer with experience building modern web applications and GenAI solutions. The ideal candidate is strong in Python, FastAPI, React, and TypeScript, with…
Added 1 month ago
D
Java Software Engineer
Dexian
Mississauga, ON
- Contract
The ideal candidate will be a strong backend Java architect with hands-on full-stack development experience and a solid understanding of modern frontend technologies. Experience with…
Added 1 month ago
S
Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)
Straive
Calgary, AB
- Full-time
Title - Senior Full Stack AI Engineer / Technical Engagement Manager
Added 1 month ago
Digital Solution Architect Lead Advisor
NTT DATA Services
Halifax, NS
Build full-stack applications (Python APIs, AI services, UI dashboards)
Added 1 month ago
KA
Lead Full-Stack GenAI Developer (Contractor)
KData AI
Toronto, ON
- Full-time
We are seeking a Senior Lead Full-Stack GenAI Developer for a 6-month contract engagement to lead the end-to-end hands-on build, integration, and deployment of enterprise GenAI and Agentic…
Added 1 month ago
A
Principal Engineer
Appnovation
Toronto, ON
- Full-time
Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact…
Added 1 month ago
Principal Engineer
Appnovation Technologies
Toronto, ON
Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact…
Added 1 month ago
UR
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Added 1 month ago
UR
Lead Full-Stack GenAI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
As a Lead Full-Stack GenAI Engineer , you will lead the hands-on delivery of secure Generative AI and agentic AI solutions from discovery and prototype through production deployment,…
Added 1 month ago
UR
Forward Deployed Engineer, Sovereign AI
Urban Ridge Supplies
Toronto, ON
- Full-time
…value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data…
Added 1 month ago
B
Principal AI Cloud Engineer
BMO
Toronto, ON · FCP
- Full-time
Work across the full stack: cloud infra, data/feature pipelines, model serving, LLMOps, and DevSecOps.
Added 1 month ago
D
Manager, Product Engineering & Development - Full-Stack Builder
Deloitte
Toronto, ON
- Full-time
…Manager who builds. This is a hands-on role for a seasoned full-stack engineer who can shape a solution with a client in the morning and be in the codebase with the team in the afternoon.…
Added 2 months ago
ES
Lead Java Developer
EPAM Systems
Canada
- Full-time
We are looking for a hands-on Lead Java Developer with 12+ years of experience to drive the backend architecture and development of a key Dynamic Portfolios platform for a leading Wealth…
Added 2 months ago
Agentic AI Engineer/Architect - FTA
SIA Innovations INC
Montreal, QC
FORWARD - DEPLOYED Engineer · Montréal, QC · Full-Time, Permanent · 100% On-Site · Start Date: September 14, 2026

Urban Ridge Supplies

Lead, AI/Machine Learning Engineer

Toronto, ON, Canada

The expected salary range for this position is $86,000.00 - $130,000.00 per year. · Full-time

Apply on jobs.urbanridgesupplies.com About employer

Applications open in a new tab.

Job details

Pay: The expected salary range for this position is $86,000.00 - $130,000.00 per year.
Job type: Full-time
Experience: 3+ years of professional software engineering experience, including 2+ years building and deploying production AI/ML or Generative AI solutions.
Posting language: English
Posted: Sep 24, 2026

Original job description

Choose a workplace that empowers your impact.

Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be - and deliver - your best.

We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 665,000 members, placing their best interests at the heart of everything we do.

Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

Don’t just work anywhere - come build tomorrow together with us.

Know someone at OMERS or Oxford Properties? Great! If you're referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub for AI capability at OMERS, partnering with Software Engineering, Customer Success and Innovation (CSI), and business areas to prototype, build, and ship AI solutions across Investments, Pension Services, Finance, and Corporate functions.

Reporting to the Associate Director, AI and ML, this role is hands-on across the full AI delivery lifecycle - from rapid prototyping and proof-of-concept development through to production-ready deployment. You will design and implement AI/ML and Generative AI solutions, operationalize them through robust engineering practices, and help shape how OMERS leverages AI to deliver measurable business outcomes. This is an opportunity to work at the intersection of cutting-edge AI, modern engineering, and real-world business problems in a collaborative, fast-paced environment.

You Will Be Responsible For

Designing and building end-to-end AI/ML and Generative AI solutions, including LLM applications, RAG pipelines, agentic workflows, and traditional ML models.
Building and maintaining MLOps/LLMOps/GenAIOps pipelines, including experiment tracking, model and prompt versioning, CI/CD, observability, drift detection, and automated retraining.
Building AI solutions using enterprise platforms, including Azure AI Foundry, Copilot Studio, and other approved AI platforms.
Working with vector databases, embeddings, and retrieval systems to ground LLMs on OMERS enterprise knowledge.
Conducting applied research on emerging models, agent frameworks, and AI engineering patterns, and translating findings into practical solutions and reusable components.
Collaborating with Software Engineering, Customer Success, and business stakeholders in an Agile environment to move initiatives from prototype to production and ensure successful adoption.
Contributing to AI governance, responsible AI practices, and architecture standards; embedding responsible AI principles and controls in everything you build.
Mentoring and coaching teammates through pairing, code reviews, and knowledge sharing; contributing to reusable skill, sub-agent, and component libraries to accelerate delivery.
Identifying, defining, and implementing improvements to existing engineering practices, tooling, and delivery processes while managing multiple initiatives and ensuring timely delivery.

Required Skills & Experience

3+ years of professional software engineering experience, including 2+ years building and deploying production AI/ML or Generative AI solutions.
Hands-on experience with LLMs, including OpenAI, Anthropic, and open-source models; prompt engineering; RAG architectures; and fine-tuning.
Practical experience with one or more LLM/GenAI frameworks, such as LangChain, LlamaIndex, or Semantic Kernel.
Strong foundation in machine learning, including classical ML, such as scikit-learn, and deep learning, such as PyTorch or TensorFlow, with experience in feature engineering, model evaluation, and experimentation.
Experience implementing MLOps/LLMOps capabilities, including MLflow, Kubeflow, or equivalents; model registries; CI/CD for ML; observability, such as Arize, Langfuse, or similar; and drift monitoring.
Proven ability to design, build, and maintain production-grade services and full-stack applications that integrate AI capabilities.
Solid experience with cloud platforms, particularly Azure, including Azure AI Foundry and Azure OpenAI; working knowledge of GCP and Vertex AI is an asset.
Strong SQL skills and experience working with modern data platforms, including Databricks and Snowflake, and vector databases, including Azure AI Search, Pinecone, pgvector, or similar.
Demonstrated success delivering complex technical projects end-to-end, aligning expectations with various partners, and navigating ambiguity from prototype to production.
Strong software engineering practices, including Git, code reviews, automated testing, and CI/CD, with a bias toward shipping reliable, maintainable software.
Excellent communication skills, with the ability to explain technical concepts and trade-offs clearly to non-technical stakeholders and senior management.
Motivated to work in a collaborative environment with fast feedback, shared ownership of outcomes, and a focus on team success.

Preferred Skills & Experience

Experience with agent frameworks, such as Microsoft Agent Framework or Google ADK, and agentic workflows.
Experience containerizing workloads, including Docker and Container Applications, and deploying across cloud and on-premises GPU infrastructure.
Exposure to AI/ML observability and evaluation tooling beyond the core stack, and experience designing evaluation harnesses and guardrails for LLM-based applications.
Familiarity with responsible AI principles, governance frameworks, and enterprise architecture standards.
Experience in financial services, pensions, asset management, or related domains.
Bachelor’s Degree in Computer Science, Engineering, Mathematics, or a related quantitative field; Master’s degree is an asset, or equivalent work experience.
Experience mentoring engineers and contributing to communities of practice or reusable component libraries.

We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 4 days per week.

This posting is for an existing vacancy.

The expected salary range for this position is $86,000.00 - $130,000.00 per year.

You may also be eligible to receive an annual Incentive Award pursuant to our Short-term Incentive plan and our Long-Term Incentive plan (if applicable), and to participate in our group benefits and retirement plans – details on these elements of compensation are included within OMERS & Oxford offer letters.

As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities where we live and work - and the members we proudly serve.

From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

Artificial intelligence (AI) tools are used to support certain stages of the OMERS recruitment process. While AI assists us in our process, human judgment and decision-making remain central to our candidate experience.

Job Id: jF5rMf6zJyUdSOVDqWjkpVfHcCuN9CZiNauNiYxqFx5GONIgu7JQ35MzbdQhIwKjgCI9HAvnqNyRIr/2SrdDCwnmSqRSe1oqVg==

Apply on jobs.urbanridgesupplies.com About employer

More about this job

Responsibilities

The Lead, AI/Machine Learning Engineer will design and build end-to-end AI/ML and Generative AI solutions, including LLM applications and agentic workflows. They will also operationalize these models through robust MLOps/LLMOps practices and collaborate with cross-functional teams to drive business outcomes.

Requirements

Candidates must have at least 3 years of professional software engineering experience, with 2+ years specifically in building and deploying production AI/ML or Generative AI solutions. Strong proficiency in cloud platforms like Azure, machine learning frameworks, and modern data platforms is required.

Skills

Artificial Intelligence
Machine Learning
Generative AI
LLM
Python
PyTorch
TensorFlow
Azure
MLOps
SQL
Databricks
Snowflake
LangChain
Prompt Engineering
RAG
Software Engineering

Benefits

Short-term incentive plan
Long-term incentive plan
Group benefits
Retirement plans

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
LLM
MLOps
LLMOps
GenAIOps
Azure AI Foundry
Copilot Studio
RAG
LangChain
LlamaIndex
Semantic Kernel
PyTorch
TensorFlow
Scikit-learn
MLflow
Kubeflow
Azure
Databricks
Snowflake
Vector Databases
Agile
Software Engineering
CI/CD
Prompt Engineering
Financial Services
Pension Plan
Data Engineering
Cloud Computing

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Work requirements

Jobs in Canada