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Added 8 mins ago
Sales Engineer
Cirrascale Cloud Services
Canada
As a Sales Engineer, you will serve as a customer-facing technical sales resource, partnering with Account Executives, Solutions Architects, and customers to support technical discovery,…
Added 23 mins ago
Analog Design Engineer Intern
Semtech
Calgary, AB · CAN - Calgary, AB
Full-time
Experience with Matlab and/or scripting languages such as Python would be an asset
Added 23 mins ago
Analog Design Engineer Intern
Semtech
Burlington, ON · CAN - Burlington, ON
Full-time
Experience with Matlab and/or scripting languages such as Python would be an asset
Added 52 mins ago
Senior Data Platform Engineer
Project X Ltd.
Toronto, ON
Full-time
We are looking for a Senior Data Platform Engineer to help an enterprise client evolve its data platform. The environment runs on AWS and includes Snowflake, Matillion and Salesforce. The…
Added 52 mins ago
AI Engineer, Mid Level
Jobright.ai
Canada
Full-time
…and helps users find better job outcomes. The Mid-Level AI Engineer designs, builds, evaluates, deploys, and operates machine learning and generative AI capabilities, including…
Added 52 mins ago
Test Engineer
Pacer Group
Montreal, QC
$45 to $48 CAD / hour
Contract
Experience with scripting technologies such as Bash and Python.
Added 1 hour ago
Software Engineering LMTS
Salesforce
Vancouver, BC · Canada - Vancouver
Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 1 hour ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
Strong proficiency in Python and experience working with LLM APIs (such as OpenAI, Anthropic, or open-source models via Hugging Face)
Added 1 hour ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…
Added 1 hour ago
Prompt Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search process. They are seeking an early-career Prompt Engineer to craft and evaluate prompts that enhance the performance of AI outputs across user-facing…
Added 1 hour ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
Scripting experience with Python, Bash, or a similar language
Added 1 hour ago
DevOps Engineer, Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As a DevOps engineer in our team, you will have the opportunity to work on innovative cloud platform technologies (AWS, GCP) and implement tools to automate maintenance and support our…
Added 1 hour ago
Sr. Site Reliability Administrator
Open Text Corporation
Mississauga, ON
The role Cloud Application Engineer/Site Reliability Engineer is to build solutions to enhance availability, performance, and stability of OpenText services as well as automating away…
Added 1 hour ago
Staff Software Engineer
BuildOps
Toronto, ON
As a Staff Software Engineer, your primary focus will be to architect, build, and optimize our industry-leading platform across the entire stack, from scalable frontend applications to…
Added 1 hour ago
Python Engineer, New Grad
Jobright.ai
Canada
Full-time
…and accelerating your route to the best job outcomes. As a Python Engineer, New Grad, you will contribute to backend services, data pipelines, APIs, and AI-powered workflows used by real…
Added 1 hour ago
Gen AI Engineer
Synechron
Montreal, QC
$80,000 to $90,000 CAD / year
Full-time
We’re looking for a Mid-Level Gen AI Engineer to build and scale intelligent, production-ready AI solutions. You’ll work with LLMs, RAG, prompt engineering, and AI agents to solve…
Added 2 hours ago
Staff AI Engineer (Global Security)
RBC
Toronto, ON
Full-time
5+ years software development experience with 2+ years in AI/ML; expert-level Python proficiency for production systems
Added 2 hours ago
Security Researcher Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
- Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.
Added 2 hours ago
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering teams to enhance…
Added 2 hours ago
AI Solutions Engineer - Intellectual Property
Patsnap
Toronto, ON
£80 to £95 GBP / year
Full-time
AI Solutions Engineer – Intellectual Property
Added 2 hours ago
Application Developer- Java, python,Spring Boot, Microservice
Smart IT Frame LLC
Toronto, ON
Contract
Job Title: Application Developer Software Engineer
Added 2 hours ago
Software Engineering LMTS
Salesforce Partner Canada
Vancouver, BC
Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 2 hours ago
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
Contract · Remote
Write clean, object-oriented, and modular production code. Transition models from Python research environments to high-performance serving environments (packaging with ONNX, TensorRT, etc).
Added 2 hours ago
Applied AI Engineer
Velixo
Remote, Canada
Full-time · Remote
This is a measurement-first engineering role. Today we ship AI features and form opinions about quality from anecdotes. You will replace that with evidence.
Added 3 hours ago
Senior Full-Stack Developer [Security & Risk Products]
ScalePad
Vancouver, BC
Full-time
A full stack engineer who can effortlessly navigate between fixing a table layout on the front end to resolving a scalability challenge with a data API in one of the microservices .

Urban Ridge Supplies

Lead, AI/Machine Learning Engineer

Toronto, ON, Canada

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

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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==

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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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