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Added 8 mins ago
B
Data Engineer
Buyerlink
Victoria, BC
- Full-time
We’re looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight - scalable pipelines, cloud-native data platforms,…
Added 8 mins ago
Water Control Systems Planning Engineer
Department of Transportation and Infrastructure
Winnipeg, MB
Reporting to the Senior Water Control System Planning Engineer, the Water Control System Planning Engineer is responsible for providing engineering services related to water management…
Added 23 mins ago
VP
System Integration Project Manager
Vista Projects
Calgary, AB
- Full-time
…innovators at our core. We continually find better, smarter ways to design and deliver oil and gas projects, and we are proud to be contributing on some of the most exciting low-carbon and…
Added 23 mins ago
HO
BI Analytics Engineer
Hydro One
Toronto, ON
- $80 to $90 CAD / hour
- Contract
We are seeking a BI / Analytics Engineer to support the data, semantic model, and reporting components of contact center analytics solutions built on Microsoft Fabric and Power BI.
Added 23 mins ago
A
System Test Engineer
Artech
Montreal, QC
- Contract
Design and execute system-level tests for telecom platforms, including provisioning, eSIM, and Enterprise 5G, under real-world conditions.
Added 23 mins ago
TP
Project Engineer
The Planet Group
Montreal, QC
- Full-time
Experienced with various Microsoft and engineering software, including AutoCAD, ETAP, and/or any other power system software
Added 23 mins ago
BO
IT & Systems Manager (AI-First)
Bells of Steel
Calgary, AB
- Full-time
You'll lead our small technical team: our AI and internal tools developer, a contract AI engineer, and the app developers we're hiring now. You'll set the rules for how we build and review…
Added 23 mins ago
Director, Engineering, Pacific Link
Trans Mountain
Calgary, AB
Trans Mountain Corporation operates Canada’s only pipeline system transporting oil products to the West Coast. We deliver approximately 890,000 barrels of petroleum products each day…
Added 23 mins ago
A
Senior Traction Engineer
Arcadis
Toronto, ON
- Full-time
Arcadis is seeking a qualified Senior Traction Power Engineer to join our Rail & Transit business and work on delivering our existing and future portfolio of projects. This position can be…
Added 53 mins ago
QA
Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
A strong foundation in system design, data storage, and reliability with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.) and data engineering tools (e.g., Pandas,…
Added 1 hour ago
VP
System Integration Project Manager
Vista Projects Limited
Calgary, AB
- Full-time
…innovators at our core. We continually find better, smarter ways to design and deliver oil and gas projects, and we are proud to be contributing on some of the most exciting low-carbon and…
Added 1 hour ago
R
Robotics & Controls Engineer | Ingénieur(e) en robotique et commande
Relocalize
Montreal, QC
- Full-time
…contributor. You will work on-site with our technicians to run the system, find what limits uptime and cycle time, then design and validate the next iteration in our Montreal lab before…
Added 1 hour ago
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Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
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…
Added 1 hour ago
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MONTRÉAL [HYBRID] - SIEM Security Engineer Senior
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC
- Full-time
We are looking for a SIEM Security Engineer (Senior) to work with one of our clients.
Added 1 hour ago
Software Development Engineer, AFT Sortation Material Flow
Amazon
Toronto, ON
…and make decisions in real-time? As a Software Development Engineer, you will be responsible to develop our next generation of systems, work that includes managing sorters and workcells…
Added 1 hour ago
GD
Intermediate Systems Engineer – ISTAR
General Dynamics Missions System International
Ottawa, ON
- $80,000 to $88,000 CAD / year
- Full-time
Design and document system architectures, operational concepts, use cases and interfaces.
Added 1 hour ago
GD
Junior Systems Engineer – ISTAR
General Dynamics Missions System International
Ottawa, ON
- $75,000 to $80,000 CAD / year
- Full-time
Understanding of system design, integration and testing fundamentals.
Added 1 hour ago
GD
Working Level Systems Engineer – ISTAR
General Dynamics Missions System International
Ottawa, ON
- $88,000 to $105,000 CAD / year
- Full-time
Design and document system architectures, operational concepts, use cases and system interfaces.
Added 1 hour ago
ES
Artificial Intelligence Engineer
Enterprise Solutions Inc.
Toronto, ON
- Contract
Seeking an AI Engineer skilled in GenAI LLMOps and MLOps to design develop and deploy scalable production grade machine learning and generative AI solutions
Added 1 hour ago
GD
Intermediate Systems Engineer – ISTAR
General Dynamics Mission Systems–Canada
Ottawa, ON
- $80,000 to $88,000 CAD / year
- Full-time
Design and document system architectures, operational concepts, use cases and interfaces.
Added 1 hour ago
GD
Working Level Systems Engineer – ISTAR
General Dynamics Mission Systems–Canada
Ottawa, ON
- $88,000 to $105,000 CAD / year
- Full-time
Design and document system architectures, operational concepts, use cases and system interfaces.
Added 1 hour ago
CE
Lead Process Engineer
CANUSA EPC LLC
Calgary, AB
- Full-time
CANUSA EPC is looking for an experienced Lead Process Engineer to join our growing Calgary engineering team.
Added 1 hour ago
SL
ServiceNow Associate Software Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
As a ServiceNow Associate Software Engineer in our Corporate IT division, you'll be at the heart of designing, developing, and supporting business-critical applications that power Sun…
Added 2 hours ago
TG
Station MEP Coordinator
Trillium Guideway Partners
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
The Ontario Line (“OL”) is a fully integrated, stand-alone, rapid transit system that connects Ontario Science Centre to the Exhibition and Ontario Place grounds. The Northern Civil,…
Added 2 hours ago
Renewable Power Senior Engineer
Hatch
Mississauga, ON
Looking to take the next step in your career? Hatch is seeking a Senior Engineer, Renewable Power interested in the integration of Utility Scale Solar PV, wind, and BESS, to work as part of…

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.

Apply About employer

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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