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Added 6 mins ago
HT
Mechanical Designer (Fluidpower)
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 6 mins ago
HT
IT Internal Auditor
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 6 mins ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 6 mins ago
HT
Test Engineering Technologist
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 6 mins ago
HT
Designer, Development (Mechanical)
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 6 mins ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 6 mins ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 6 mins ago
HT
Internal Auditor (Business Control & IT)
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 6 mins ago
HT
CNC Programmer
Husky Technologies
Bolton, ON
- Full-time
…an ambitious growth strategy that means exceptional career development opportunities and a chance to be a part of a team that is the best in the world at what we do. APPLY TODAY – join the…
Added 6 mins ago
T
Channels Architect
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 6 mins ago
TS
Team Leader
The Salvation Army Canada and Bermuda Territory
Hamilton, ON
- Full-time
…individualized and measurable goals. They are responsible to lead shifts – guiding and motivating the team to achieve organizational…
Added 51 mins ago
P
Technology Strategy & Transformation, Senior Associate
PwC
Toronto, ON
- Full-time
Lead technology strategy and transformation programmes, with a focus on infrastructure, AI, data, and digital technologies across a variety of industries.
Added 1 hour ago
ES
Senior Product Manager | Applied AI
EPAM Systems
Canada
- Full-time
Able to influence stakeholders up to and including VP level, and to lead all critical aspects of a product launch
Added 1 hour ago
ES
Compute Platform SRE Lead
EPAM Systems
Canada
- Full-time
We are seeking a skilled Compute Platform SRE Lead to support EPAM's Compute Managed Services project. The role focuses on KTLO (Keep the Lights On) activities, ensuring 24x7 monitoring,…
Added 1 hour ago
ES
Senior Cloud & Infrastructure Engineer (Azure & Terraform)
EPAM Systems
Canada
- Full-time
…in Azure Cloud architecture and production-grade Terraform development. You will own the creation, modification, and maintenance of cloud infrastructure using robust Infrastructure-as-Code…
Added 1 hour ago
BC
Engineer and Project Leader, Industrial Piping
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- Full-time
Lead and participate in project design studies and detailed engineering
Added 1 hour ago
VC
Inside Sales Representative
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Langley (District), BC · Langley, BC
- $33,000 to $83,000 CAD / year
- Full-time
…commitment to environmental protection, promoting sustainable development and comfort. With a comprehensive portfolio that includes heating, cooling, ventilation, and energy systems,…
Added 2 hours ago
SM
RQ11697 – Change Management Consultant – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Lead, develop, implement, and/or provide input into the development of stakeholder assessments, stakeholder engagement strategies, and resistance management throughout the project lifecycle.
Added 2 hours ago
SM
RQ11531 – Scrum Master – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Software Development Background: Experience in software development is advantageous, enabling better communication with technical teams.
Added 2 hours ago
HO
Part-Time Worship Leader – Contemporary Christian Worship
House of Intercessory Prayer Ministries
Halifax, NS
- Part-time
We value Spirit-led worship, biblical teaching, prayer, discipleship, and the development of spiritual gifts.
Added 2 hours ago
SM
RQ00388 – Solution Architect
S M Software Solutions Inc
Fredericton, NB
- Full-time
…application and solutions architecture, enterprise application development, .NET, Microsoft SQL Server, Java, JavaScript, and large-scale healthcare applications. The successful candidate…
Added 2 hours ago
SM
RQ11491 - Product Manager - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Lead the development and maintenance of project governance artifacts, including Project Charters, Project Change Requests (PCRs), business cases, decision records, risk registers, status…
Added 2 hours ago
SM
RQ11619 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…business architecture, stakeholder engagement, business case development, requirements analysis, user stories, process mapping, systems analysis, and I&IT project…
Added 2 hours ago
SM
RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…business process reengineering, Agile methodologies, user story development, business modelling, enterprise business architecture, stakeholder engagement, and I&IT solution delivery. The…
Added 2 hours ago
SM
RQ11612 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…business architecture, stakeholder engagement, business case development, requirements analysis, user stories, process mapping, systems analysis, and I&IT project…

lululemon

Principal AI/ML Engineer

Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 22, 2026
Posting language: English
Posted: Sep 22, 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 and technology decisions, establish responsible AI and engineering practices, and mentor senior technical talent.

Requirements

Requires a bachelor’s degree in computer science, engineering, or a related field, or equivalent experience; a master’s degree is preferred. Candidates should have 11–15+ years of progressive software and AI/ML engineering experience, expert production coding ability, enterprise-scale AI platform experience, and advanced knowledge of modern ML infrastructure and MLOps tools.

Skills

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

Benefits

Annual Bonus Program
Equity Offerings
Extended Health and Dental Benefits
Mental Health Plans
Paid Time Off
Savings and Retirement Plan Matching
Employee Discount
Fitness and Yoga Classes
Parenthood Top-Up
Career Development
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/ML Engineering
Python
Apache Spark
Apache Airflow
MLflow
Feature Stores
Vector Databases
Model Serving Platforms
Cloud AI Services
Kubernetes
Model Lifecycle Management
Model Evaluation
Inference Platforms
Training Infrastructure
Data Governance
Responsible AI
Observability
Retail
Batch Processing
Real-Time Services
Cost Optimization
System Architecture
Production AI Systems
AI Platform Services

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