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Added 1 min ago
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
Full-time
A Lead Full Stack Developer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in C# and focused on .Net Core and Azure cloud…
Added 45 mins ago
Creative Services Coordinator
National Bank of Canada
AB · Edmonton, AB
Full-time
…the ongoing maintenance of our Digital Asset Manager (DAM) platform. This role is best suited for someone with formal design training, strong software fundamentals, a portfolio that…
Added 45 mins ago
ESG-Intern
Husky Technologies
Bolton, ON
Part-time
Data Collection: Gather ESG-related data from various departments and business units using Husky's global ESG platform to support reporting requirements and customer sustainability requests.
Added 2 hours ago
Director, Project Management & Business Analysis (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
Advanced proficiency with Microsoft Office Suite, SharePoint, and project management tools
Added 2 hours ago
Commercial Banking Advisor
Royal Bank of Canada
Ottawa, ON
Full-time
Strong working knowledge of Microsoft Office Suite and client presentations
Added 2 hours ago
Business Development Representative
AppHelp by AppDirect
Montreal, QC
Full-time
…around the world. AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for…
Added 3 hours ago
Application Security Consultant - SCA (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking a talented Intermediate Developer to join our Application Security team and serve as a bridge between security and development. You will provide technical execution and…
Added 3 hours ago
Procurement Specialist
Recycle Track Systems
Richmond, BC
Full-time
Our technology platform utilizes sensors, GPS tracking, and highly engaged partner haulers to provide waste management and recycling services and track materials from their source to…
Added 4 hours ago
Commercial Banking Advisor – Indigenous Markets
Royal Bank of Canada
Ottawa, ON
Full-time
Strong working knowledge of Microsoft Office Suite and client presentations
Added 4 hours ago
Strategy Advisor, Identity & Access Management
Questrade Financial Group
Toronto, ON
…to policy engine design to minimize account takeover risks. Platform delivery ownership follows the enterprise architecture decision on the CIAM target…
Added 5 hours ago
Data Platform Specialist
Make-A-Wish Canada
Toronto, ON
Full-time
We are looking for a Data Platform Specialist to join our team at Make-A-Wish Canada. Reporting to the Director, Data Analytics & Insights, you will build and maintain the trusted data…
Added 5 hours ago
Senior Cloud Security Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
Provide strategic security guidance on cloud architectures, emerging technologies, and platform capabilities, balancing risk management with business objectives.
Added 6 hours ago
Maintenance Technician (Industrial)
Bosa Properties Inc.
Vancouver, BC
Responds to tenant requests, including those that come through Building Engine (Operations platform), for their sites and enters maintenance issues and tasks into Building Engine to track…
Added 6 hours ago
Cochlear Implant Consumer Specialist, Canada
Sonova Group
Calgary, AB
Full-time
Comfortable using Microsoft Office, web tools, email, phone, and customer relationship systems
Added 6 hours ago
Maintenance Technician (Industrial)
Bosa Properties
Vancouver, BC
Full-time
Responds to tenant requests, including those that come through Building Engine (Operations platform), for their sites and enters maintenance issues and tasks into Building Engine to track…
Added 6 hours ago
ESG-Intern
Husky Technologies
Bolton, ON
Part-time
Data Collection: Gather ESG-related data from various departments and business units using Husky's global ESG platform to support reporting requirements and customer sustainability requests.
Added 6 hours ago
SPECIALIST, DEFENCE SUPPLY CHAIN DATA & ANALYTICS
BDC
Montreal, QC
Full-time
Own and continuously enhance BDC’s Defence Supply Chain intelligence assets, including: Defence platform databases Defence SME databases
Added 7 hours ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
Microsoft's Azure Data engineering team is building the data platform for the age of AI, powering a new generation of data-driven applications and intelligent experiences. Within the…
Added 8 hours ago
IT Support Specialist
LodgeLink
Calgary, AB
Full-time
…strong analytical and troubleshooting skills to resolve Apple, Microsoft, software, network, and collaboration tool…
Added 8 hours ago
DevOps Consultant - Red Hat OpenShift
CGI
Halifax, NS
Full-time
Support cloud infrastructure hosted in Microsoft Azure and contribute to platform modernization initiatives.
Added 9 hours ago
Cochlear Implant Consumer Specialist, Canada
Sonova AG
Calgary, AB
Comfortable using Microsoft Office, web tools, email, phone, and customer relationship systems
Added 9 hours ago
Growth Marketing Manager/Responsable de la Croissance Marketing
Kitco Metals Inc.
Montreal, QC
Full-time
…digital acquisition strategies that bring new customers to our…
Added 9 hours ago
Controller
Middle Ground Housing Company
Toronto, ON
Full-time
Middle Ground Housing (“MGH”) is a growing purpose-built rental housing platform focused on the “missing middle” of Southern Ontario. We develop large, ground-oriented, Class A rental…
Added 9 hours ago
Consultant, IT Systems Administrator (Airflow/Snowflake)
Project X
Toronto, ON
Full-time
Provide technical support to all employee devices on a supported platform on a day-to-day basis.
Added 9 hours ago
Lead Cost Specialist
Fluor
Calgary, AB
Full-time
Significant technical knowledge and practical experience with applicable software systems: EcoSys, Cobra, SAP, Microsoft Office Suite (superior knowledge in Microsoft excel).

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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