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Added 15 mins ago
SI
Senior Product Manager
Spruce InfoTech Inc.
Toronto, ON
- Contract
Develop and maintain the enterprise AI roadmap, balancing business value, strategic alignment, feasibility, data readiness, risk, and delivery capacity.
Added 15 mins ago
NB
Chief Artificial Intelligence Architect
National Bank of Canada
Montreal, QC
- Full-time
Partner with AI delivery, governance, business, data, and technology stakeholders to drive a coherent enterprise AI approach, clarify decision rights, and translate opportunities into…
Added 15 mins ago
IG
Global Head of Digital Strategy & Transformation
Ingenio Global
Toronto, ON · Greater Toronto Area, Canada
- $220,000 to $250,000 CAD / year
- Full-time
…wider executive leadership team. The successful candidate will lead the firm's digital transformation strategy, bringing together business applications, data, AI, automation and digital…
Added 30 mins ago
RA
Staff Software Engineer, Platform
Rivian and Volkswagen Group Technologies
Remote, Canada
- $137,300 to $181,890 CAD / year
- Full-time
- Remote
Lead the architecture and delivery of backend services and platform capabilities, from problem framing and design through launch and operation.
Added 30 mins ago
GD
Senior Human Factors Engineering Analyst
General Dynamics Missions System International
Ottawa, ON
- $110,000 to $138,000 CAD / year
- Full-time
Lead HFE activities across assigned programs, defining objectives, methods, deliverables, schedules, and measures of success.
Added 30 mins ago
CT
Team Lead, Space Planning
Canadian Tire Corporation
Toronto, ON · Retail City
- Full-time
Reporting to the Space Planning Manager, the Team Lead provides day-to-day leadership, guidance, and technical support to a team of Space Planning Specialists throughout the planogram (POG)…
Added 45 mins ago
H
Land Representative
Hays
Calgary, AB
- Contract
As a fully qualified land professional, you will lead and coordinate land requirements for growth and lifecycle projects. Acting as the land subject matter expert within multidisciplinary…
Added 45 mins ago
DG
HR Business Partner
DHL Global Forwarding
Montreal, QC
- Full-time
…independently manage competing priorities, take initiative, use data and AI-enabled tools responsibly, and develop forward-looking solutions that strengthen business performance and the…
Added 45 mins ago
GD
Senior Human Factors Engineering Analyst
General Dynamics Mission Systems–Canada
Ottawa, ON
- $110,000 to $138,000 CAD / year
- Full-time
Lead HFE activities across assigned programs, defining objectives, methods, deliverables, schedules, and measures of success.
Added 45 mins ago
CT
Team Lead, Space Planning
Canadian Tire Corporation
Toronto, ON
- Full-time
Reporting to the Space Planning Manager, the Team Lead provides day-to-day leadership, guidance, and technical support to a team of Space Planning Specialists throughout the planogram (POG)…
Added 45 mins ago
Sponsorship Specialist
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Calgary, AB · Dartmouth, NS · Mississauga, ON
Lead the development of marketing briefs, creative execution, project timelines, budgets, and approvals to ensure flawless program delivery.
Added 46 mins ago
Director, Surveys and Geomatics
Infrastructure Ontario
Toronto, ON
Lead the development of new GIS guidelines, specifications, and standards that set a benchmark for the industry and improve data integration and accessibility.
Added 1 hour ago
GV
Project Manager Construction & Commissioning / Chef de projet Construction & Mise en service
GE Vernova
Brossard, QC
- Full-time
Prepare the data for monthly reviews (MPR/PMR).
Added 1 hour ago
Project Manager, Customer Success & Account Management
GoBolt
Toronto, ON
Lead end-to-end delivery of merchant projects, including onboarding and launches, new service or location rollouts, peak season readiness, system integrations and process changes.
Added 1 hour ago
Regional Manager, Workplace - Americas
Infoblox
Burnaby, BC
…Workplace Operations and Events. In this pivotal role, you will lead workplace strategy and operational excellence across the Americas, including the United States, Canada, and Latin…
Added 1 hour ago
VP
System Integration Project Manager
Vista Projects
Calgary, AB
- Full-time
The System Integration Project Manager leads the delivery of SI projects at the intersection of engineering data, application development and emerging AI tooling. This role coordinates the…
Added 1 hour ago
AC
Senior Project Manager - Civil
Accenture Construct
Toronto, ON
- Full-time
At Accenture Construct, that's the job. You'll help deliver the data centers, power grids, rail networks, factories and public infrastructure that keep communities moving - smarter, safer…
Added 1 hour ago
E
Braze Lead Developer
EXL
ON · Ontario, Canada
- Full-time
We are seeking a hands-on Braze Lead Developer to build, integrate, and scale Braze solutions for enterprise clients. You will lead a team of developers while remaining deeply hands-on:…
Added 1 hour ago
A
PeopleSoft HCM Technical Delivery Lead
Ampstek
Mississauga, ON
- Contract
Role : PeopleSoft HCM Technical Delivery Lead
Added 1 hour ago
MP
IT Director, Application Development & Support
Michael Page
Markham, ON
- $140,000 to $180,000 CAD / year
- Full-time
This senior technology leadership role is responsible for the strategy, delivery, modernization, support, and governance of enterprise applications, digital platforms, integrations, and…
Added 1 hour ago
Senior Application Developer (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
We don’t just implement technology; we modernize outdated systems and reimagine processes. Our agile, data-driven approach ensures that digital services are both efficient and adaptable to…
Added 1 hour ago
Senior Manager- Forensics- Assurance
EY
Toronto, ON
Deliver quality and value-added service on engagements, manage the delivery of services to clients (oversee client files from the planning to the closing stage) and ensure consistent high…
Added 1 hour ago
Manager- Forensics- Assurance
EY
Toronto, ON
Deliver quality and value-added service on engagements, manage the delivery of services to clients (oversee client files from the planning to the closing stage) and ensure consistent high…
Added 1 hour ago
T
AVP Finance, RESL, Operations, & COO
TD
Toronto, ON
- Full-time
Lead through the TD Way, creating an inclusive, high-performing culture grounded in clear expectations, accountability, constructive challenge, continuous improvement and colleague…
Added 1 hour ago
PT
Principal Technical Program Manager
PAR Technology
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
· Lead the end-to-end planning, execution, and delivery of complex technology programs, ensuring alignment with PAR’s business objectives, product strategy, and engineering priorities.

lululemon

Principal AI/ML Engineer

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Requirements

Description & Requirements

Who we are

lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.

About This Team

The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, AI-driven data analytics and insights, and AI solutions across lululemon’s vertically integrated retail ecosystem, while embedding strong data governance and responsible AI practices from the very beginning. By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and educator experiences, and drives enterprise efficiency. 

Core responsibilities

As a Principal AI/ML Engineer, you will define and drive implementation approaches for enterprise-scale AI initiatives that transform how lululemon operates and delivers value. You will leverage deep expertise in machine learning systems, generative AI, MLOps , and platform architecture to shape company-wide technical strategy and design of the enterprise AI platform and services, and AI solutions.

You will collaborate closely with enterprise architects, applied science leaders, product leaders, and engineering organizations to translate the AI strategy and priorities into scalable technical solutions. Acting as a trusted advisor across the enterprise, you will guide critical decisions related to the architecture for enterprise AI platform and services, the evolution of the AI platform, and responsible AI implementation.

You will operate as a hands-on technical leader, advisor, and thought leader, influencing organizational direction through your technical expertise, and as an individual contributor, guide the build of AI/ML engineering capabilities across the company.This role may require availability outside of standard business hours, including on-call support, based on business needs.

Select Responsibilities Include

Define the enterprise AI/ML engineering vision and implementation strategy spanning the enterprise AI platform and services, and common frameworks and tools for model development, training infrastructure, inference platforms, evaluation frameworks, and governance capabilities.
Drive implementation of major AI initiatives, ensuring scalable, reliable, secure, and cost-effective AI solutions across the enterprise.
Demonstrate expert-level coding proficiency by developing critical components of AI platforms, ML infrastructure, and production AI systems when hands-on technical leadership is required.
Partner with enterprise architects, product team, and the Data and AI team to shape company-wide AI architecture, providing deep technical expertise on implementation feasibility, operational considerations, scalability, and long-term maintainability.
Lead technical design of foundation model services, generative AI solutions, and agentic frameworks,
Challenge and improve existing AI architectures by identifying platform limitations, technical risks, and opportunities for innovation, proposing solutions that advance enterprise AI capabilities.
Provide executive-level technical advisory on complex AI investments, build-versus-buy decisions, model strategy, technology selection, responsible AI considerations, and implementation risk assessment.
Drive enterprise-wide AI/ML engineering practices including model lifecycle management, experimentation standards, evaluation methodologies, observability, reliability, and responsible AI controls.
Influence product strategy and business investment decisions through technical insights on AI feasibility, value realization, scalability, and organizational impact.
Drive engineering productivity and AI adoption across multiple teams through platform enhancements, reusable AI capabilities, automation, and reduction of systemic technical barriers.
Mentor Senior and Staff engineers while developing the next generation of AI technical leaders across the organization.
Represent lululemon externally through industry conferences, technical publications, open-source contributions, and participation in the broader AI community.

Qualifications

Bachelor’s degree in computer science, Engineering, or related field, or equivalent experience; Master's preferred.
11-15+ years of progressive software engineering and AI/ML engineering experience, including significant experience designing and operating enterprise-scale AI systems and platforms, or equivalent.
Expert-level coding ability with a track record of developing production-grade AI/ML systems, platforms, and infrastructure that solve highly complex technical and business challenges. Retail experience preferred.
Deep expertise across system design for complex ML solutions, model deployments, batch and real-time services, and evaluation frameworks.
Proven experience defining implementation strategies and execution approaches for complex, cross-organizational AI initiatives with measurable business impact.
Demonstrated ability to evaluate and guide adoption of emerging AI technologies
Deep experience analyzing complex technical trade-offs involving model quality, latency, reliability, scalability, cost optimization, privacy, and governance requirements.
Recognized expertise in implementing AI solutions combined with the ability to assess enterprise-wide implications and influence long-term technology direction.
Experience collaborating with applied science, product, architecture, security, and engineering leadership teams to deliver enterprise AI capabilities.
Advanced experience with implementing AI/ML engineering solutions using python , Spark, Airflow, MLFlow , feature stores, vector databases, model serving platforms, cloud AI services, Kubernetes, and modern MLOps tooling.

Must haves

Acknowledge the presence of choice in every moment and take personal responsibility for your life.
Possess an entrepreneurial spirit and continuously innovate to achieve great results. 
Communicate with honesty and kindness and create the space for others to do the same. 
Lead with courage, knowing the possibility of greatness is bigger than the fear of failure. 
Foster connection by putting people first and building trusting relationships. 
Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.

Additional Notes

Authorization to work in Canada is required for this role

Compensation And Benefits Package

lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $208,580-$273,770 annually ; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program and equity offerings, subject to program eligibility requirements.  

At Lululemon, Investing In Our People Is a Top Priority. We Believe That When Life Works, Work Works. We Strive To Be The Place Where Inclusive Leaders Come To Develop And Enable All To Be Well. Recognizing Our Teams For Their Performance And Dedication, Other Components Of Our Total Rewards Offerings Include Support Of Career Development, Wellbeing, And Personal Growth

Extended health and dental benefits, and mental health plans
Paid time off
Savings and retirement plan matching
Generous employee discount
Fitness & yoga classes
Parenthood top-up
Extensive catalog of development course offerings
People networks, mentorship programs, and leadership series (to name a few)

Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.

workplace arrangement

In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.

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More about this job

Responsibilities

Define the enterprise AI/ML engineering strategy and lead the design and implementation of scalable AI platforms, services, and production solutions. Advise enterprise leaders on architecture, technology choices, responsible AI, and investment decisions while mentoring engineers and advancing organization-wide AI practices.

Requirements

Requires 11–15+ years of progressive software and AI/ML engineering experience, expert production coding ability, and a track record delivering complex enterprise-scale AI systems. A bachelor’s degree in computer science, engineering, or a related field (or equivalent experience) is required, with a master’s preferred; advanced experience with modern AI/ML, cloud, and MLOps technologies is expected.

Skills

Machine Learning Systems
Generative AI
MLOps
AI Platform Architecture
Python
Spark
Airflow
MLflow
Feature Stores
Vector Databases
Model Serving
Cloud AI Services
Kubernetes
System Design
Model Evaluation
Responsible AI

Benefits

Annual Bonus
Equity Offerings
Career Development
Wellbeing Support
Extended Health Benefits
Dental Benefits
Mental Health Plans
Paid Time Off
Savings and Retirement Plan Matching
Employee Discount
Fitness and Yoga Classes
Parenthood Top-Up
Development Courses
Mentorship Programs

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Agentic Frameworks
MLOps
Enterprise AI Platforms
AI Governance
Responsible AI
Python
Apache Spark
Apache Airflow
MLflow
Feature Stores
Vector Databases
Model Serving
Cloud AI Services
Kubernetes
Model Lifecycle Management
Model Evaluation
Inference Platforms
Batch Processing
Real-Time Services
Observability
Scalability
Cost Optimization
Data Governance
Retail
System Architecture
AI Infrastructure
Experimentation Standards

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