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Added 8 mins ago
O
Junior Hydrogeologist/Geologist
Onterris
Calgary, AB · CAN-Alberta-Calgary
- Full-time
Eligibility for registration as a Professional Geoscientist-in-training (GIT) or Engineer-in-Training (EIT) with a recognized Canadian licensing body (e.g., APEGA, EGBC) considered an asset
Added 8 mins ago
C
Product Engineer (Cabico Coaticook)
Cabico
Sherbrooke, QC
- Full-time
We are seeking a Product Engineer to join our team at our Coaticook, QC site. Your mission: you will bridge the gap between a product idea and its manufacture. Your role is to properly…
Added 8 mins ago
C
Product Engineer (Cabico Coaticook)
Cabico
Coaticook, QC
- Full-time
We are seeking a Product Engineer to join our team at our Coaticook, QC site. Your mission: you will bridge the gap between a product idea and its manufacture. Your role is to properly…
Added 23 mins ago
A
Director, Digital & Information Management
AtkinsRéalis
Mississauga, ON · Toronto, ON
- Full-time
Establish robust cybersecurity, digital safety, training, and corrective action programs to protect critical systems and ensure regulatory compliance.
Added 23 mins ago
E
Scientist II
Evonik
Burnaby, BC
- Full-time
…Promotion program and Regional and Global resources for ongoing training and development. Best of all, you will work within a great team of professionals in an engaging workforce who value…
Added 23 mins ago
Principal Product Designer
Momentum Financial Services Group
Toronto, ON
Partner closely with the design system engineer and product engineering teams to maintain alignment between Figma, design tokens, coded components, Storybook, and production behaviour.
Added 23 mins ago
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Senior AI Engineer
RBC
Toronto, ON
- Full-time
Internal Audit is replacing manual, spreadsheet-based processes with secure, real-time digital tools. As a Senior AI Engineer, you'll build the applications auditors use to plan, run, and…
Added 23 mins ago
ME
Founding Electrical Engineer
Mapleview Energy
Toronto, ON · Greater Toronto Area, Canada
- Full-time
You’ll be our first dedicated electrical engineer and own the electrical side of every system we build, from the first site visit to energization and handover. You’ll work alongside our…
Added 23 mins ago
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AME E / AVS
Heli-One
Petawawa, ON
- Full-time
Are you a skilled Aircraft Maintenance Engineer with strong troubleshooting abilities, excellent attention to detail, and a hands-on experience with aircraft avionics and electrical systems?
Added 23 mins ago
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Avionic AME (E or AVS)
Heli-One
Frankford, ON
- Full-time
Are you a skilled Aircraft Maintenance Engineer with strong troubleshooting abilities, excellent attention to detail, and a hands-on experience with aircraft avionics and electrical systems?
Added 23 mins ago
BH
Sr. Engineer - Dam Safety Surveillance (Lower Mainland & Bridge Coastal)
BC Hydro
Burnaby, BC
- Full-time
This is a full-time, regular Dam Safety Engineer position with the Lower Mainland & Bridge Coastal Dam Safety Team. Staff are stationed at the Mission and Edmonds offices. In this role, you…
Added 37 mins ago
SG
Metallurgist
Skeena Gold + Silver
BC · Kitimat-Stikine A, BC
- Full-time
Engineer-in-Training status with a demonstrated path toward registration is preferred.
Added 52 mins ago
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Data & AI Solution Architect
SaskTel
SK · Saskatchewan, Canada
- Contract
…providing technical assistance with seminars, workshops, on-site training, formal training, and direct…
Added 52 mins ago
S
AI Data Architect
SaskTel
SK · Saskatchewan, Canada
- Contract
…providing technical assistance with seminars, workshops, on-site training, formal training, and direct…
Added 53 mins ago
EV
Engineer or Engineer-In-Training, Processing, Water Operations
Elk Valley Resources
Sparwood, BC
- $91,300 to $126,800 CAD / year
- Full-time
Registered as an Engineer-In-Training with EGBC or the ability to register
Added 1 hour ago
Director, Pipeline, Pacific Link
Trans Mountain
Calgary, AB
Added 1 hour ago
Director, Facilities, Pacific Link
Trans Mountain
Calgary, AB
Added 1 hour ago
Senior AI Platform Engineer
Scotiabank
Toronto, ON
The Senior AI Platform Software Engineer will lead the design, development, and operation of scalable software platforms that enable enterprise teams to build, deploy, monitor, and govern…
Added 1 hour ago
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Senior L3 AI Engineer
PeoplePilot
Montreal, QC
- $120,000 to $140,000 CAD / year
- Full-time
# Senior L3 AI Engineer – Enterprise AI Platforms
Added 1 hour ago
Transportation and Economic Modelling Engineer
Government of Alberta
AB
Job Title: Transportation and Economic Modelling Engineer
Added 1 hour ago
T
Performance Engineering Lead
TD
Mississauga, ON · Toronto, ON
- Full-time
Participate in personal performance management and development activities, including cross-training within own team
Added 1 hour ago
T
Software Engineer II (Systems Support)
TD
Toronto, ON
- Full-time
The Software Engineer II is responsible for providing leadership, technical expertise, and operational support within the Credit Platform team. They will ensures the reliability, stability,…
Added 1 hour ago
Designer Specialist II
Chemelex
Brampton, ON · Mississauga, ON · Toronto, ON
Registered, or in training, to be a Professional Engineer or Professional Technologist is an asset, but not required.
Added 2 hours ago
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Senior Software Engineer
LTM
ON · Ontario, Canada
- $100,000 to $110,000 USD / year
- Full-time
…including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation…
Added 2 hours ago
NF
Vehicle Applications Engineer - 7-Month Term
New Flyer
Winnipeg, MB
- Temporary

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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