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Added 3 mins ago
Canada Leader, Specialist Solution Architects | Chef du Canada, Architectes de solutions spécialisés
Amazon
Vancouver, BC · Toronto, ON · Montreal, QC
This team provides field leadership with deep domain expertise that ranges across GenAI, High Performance Computing, Compute, Networking, Storage, Database, and Analytics. It also includes…
Added 34 mins ago
Senior Analyst - CX Automation Intelligence & Insights
HelloFresh
Toronto, ON
…agent-assist AI, and customer self-reporting tools), dive deep into GenAI conversational landscapes, and translate complex log data into actionable roadmap strategies. If you love solving…
Added 1 hour ago
Specialist - Software Engineering- GEN AI
LTM
ON · Ontario, Canada
$80,000 to $90,000 USD / year
Full-time
We are seeking a highly skilled Full Stack Developer with strong expertise in Python and Angular to build and support modern cloudnative applications The ideal candidate should be…
Added 1 hour ago
BUSINESS PROG & SOLUTIONS SPECIALIST
City of Toronto
Toronto, ON
…modern full stack technologies, including web, cloud-aligned, GenAI, and API-driven architectures. You will contribute to building scalable and maintainable systems leveraging technologies…
Added 1 hour ago
Senior Staff Developer, AI and Machine Learning
Benevity
Remote, Canada
$137,800 to $179,080 CAD / year
Full-time · Remote
This is a brand new role designed to shape the future of our engineering organization. As Senior Staff Developer - AI and Machine Learning, you will serve as the technical anchor for our…
Added 1 hour ago
Senior Staff Developer, AI and Machine Learning
Benevity
Remote, Canada
Full-time · Remote
This is a brand new role designed to shape the future of our engineering organization. As Senior Staff Developer - AI and Machine Learning, you will serve as the technical anchor for our…
Added 3 hours ago
Security Researcher Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
Security Research Architect - Generative AI (GenAI)and Agentic systems
Added 6 hours ago
Staff Customer Experience Professional - Growth & Retention
Intuit
Toronto, ON
Full-time
Lead the design of AI- and GenAI-enabled service experiences that advance how Intuit delivers expert-powered help to these customers
Added 8 hours ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Exposure to agentic workflows or GenAI product development.
Added 11 hours ago
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
Full-time
…responsible for the programmatic development of Agentic workflows, GenAI pipelines, and the cloud-native infrastructure that powers them and the integration of these systems into existing…
Added 12 hours ago
Director Engineering
Redwood Software
Canada
…architecture, full-stack product development, and practical AI/GenAI…
Added 14 hours ago
Delivery Manager
Capgemini
Mississauga, ON
Drive adoption of AI, GenAI, AIOps, automation, and intelligent monitoring capabilities across support operations.
Added 15 hours ago
SRE Consultant
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Added 16 hours ago
Sr. Software Engineer (Python & AWS)
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Sr. Software Engineer – Contact Centre Innovation & GenAI
Added 17 hours ago
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
Full-time
We’re seeking a Full Stack Developer to join the Residential Lending (Mortgage) technology team, embedded with DevOps/Support. You’ll own and stabilize lower environments, partner with…
Added 18 hours ago
Technology Strategy & Transformation, Senior Associate
Pwc Canada
Ottawa, ON
Full-time
Demonstrate direct experience driving strategic transformation in technology-driven environments, including cloud, data, AI, GenAI, AIOps, and digital infrastructure.
Added 18 hours ago
Gen AI Engineer
Synechron
Montreal, QC
$80,000 to $90,000 CAD / year
Full-time
Design, develop, and deploy GenAI applications using LLMs, RAG, prompt engineering, and AI agents.
Added 18 hours ago
Lead Full Stack Developer
RBC
Toronto, ON
Full-time
We’re seeking a Full Stack Developer to join the Residential Lending (Mortgage) technology team, embedded with DevOps/Support. You’ll own and stabilize lower environments, partner with…
Added 18 hours ago
Security Researcher Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
Security Research Architect - Generative AI (GenAI)and Agentic systems
Added 18 hours ago
Enterprise Security Architect
Centraprise
Toronto, ON
Contract
Job Title: Security Architect – Architecture Review, GenAI & Governance
Added 18 hours ago
Microsoft Power Platform : Montreal, QB (Hybrid) : FTP
AceStack
Montreal, QC
Full-time
We are seeking a highly skilled Power Platform & GenAI Developer with hands-on experience in Microsoft Power Apps, Power Automate, Copilot, Large Language Models (LLMs), and database…
Added 19 hours ago
Microsoft Power Platform
Zodiac Solutions, Inc
Montreal, QC
Full-time
We are seeking a highly skilled Power Platform & GenAI Developer with hands-on experience in Microsoft Power Apps, Power Automate, Copilot, Large Language Models (LLMs), and database…
Added 19 hours ago
Stratège, Produits IA | AI Product Strategist
Cossette
Montreal, QC
Full-time
Travailler en étroite collaboration avec les développeur·euses GenAI pour questionner les fonctionnalités, évaluer la faisabilité, estimer les efforts et trancher sur les décisions…
Added 19 hours ago
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
Contract · Remote
Agentic / GenAI Development: Experience designing agentic workflows or utilizing LLMs to automate ad creative generation, campaign copilot tools, or internal ML development workflows…
Added 19 hours ago
Technology Strategy & Transformation, Senior Associate
PwC
Ottawa, ON
Full-time
Demonstrate direct experience driving strategic transformation in technology-driven environments, including cloud, data, AI, GenAI, AIOps, and digital infrastructure.

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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