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Added 5 mins ago
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Chef-fe d'équipe (Troisiéme Clé) - Anjou
Nestlé Nespresso SA
Montreal, QC
- Full-time
We are looking for a Full Time Team Leader to join our team! This position is an existing vacancy. This role will be responsible for acti
Added 5 mins ago
AA
Professionnel Intégration Systèmes Cybersécurité / Cybersecurity Systems Integration Professional
Airbus Aircraft
Montreal, QC
- Full-time
We are actively working on the feasibility study for the A220 new development which is an exciting milestone for the A220 Program. In this context we are looking for the right leader to…
Added 5 mins ago
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Technical Product Manager
CirrusLabs
Mississauga, ON
- Contract
● Be the voice of the customer for the product development team throughout the entire product development lifecycle, from definition to sunsetting of the product.
Added 5 mins ago
IT
Business Development Representative
Intelex Technologies ULC
Toronto, ON
- Full-time
With more than 1,300 clients and 1.6 million users, Intelex Technologies ULC. is a global leader in environmental, health, safety and quality (EHSQ) management software. Since 1992 its…
Added 5 mins ago
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Director, EX Innovation
Equinix
Toronto, ON
- Full-time
…journey architecture, design principles and standards for People Team programs, products, services and interaction channels. Using employee listening, experience research and service…
Added 5 mins ago
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QA Specialist
Entrust
Ottawa, ON · Canada - Ottawa
- Full-time
…the quality, reliability, usability, and security of Entrust software solutions used by government, enterprise, and financial services customers. You will work as part of a cross-functional…
Added 21 mins ago
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Personal Banking Associate - Sainte-Marthe-sur-le-Lac (Full-time, 37.5h/week)
TD
Sainte-Marthe-sur-le-Lac, QC
- Full-time
Help build a positive and equitable work environment by promoting team effectiveness, participating in personal performance development and sharing industry knowledge to achieve common…
Added 21 mins ago
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Principal Technical Program Manager
PAR Technology
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our…
Added 21 mins ago
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Senior Information Security Analyst
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 35 mins ago
RS
Supervisor Transportation - CANADA
Republic Services
Chatham-Kent, ON · Tilbury, ON
- Full-time
Are you a transportation leader who thrives in a fast-paced environment and enjoys building high-performing teams? We're looking for a Transportation Supervisor to oversee daily…
Added 35 mins ago
EN
Program Manager
Extreme Networks
Toronto, ON
- Full-time
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Added 35 mins ago
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Salesperson
ENTRATECH SYSTEMS
Burlington, ON
- Full-time
Comfortable using email, telephone, LinkedIn, and CRM software for business development.
Added 36 mins ago
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Senior Manager, Product Development and Delivery
CIBC
Toronto, ON
- Full-time
As a member of CIBC’s team, the Senior Manager, Product Development and Delivery is a seasoned technology delivery leader responsible for overseeing complex projects and a portfolio of…
Added 50 mins ago
AW
Senior Developer - R&D Tools & Systems
Arctic Wolf
Waterloo, ON · Office - CAN - Ontario, Waterloo
- $75,000 to $246,000 CAD / year
- Full-time
We are a global leader in security operations, helping organizations stay resilient against evolving cyber threats through industry-leading security operations, threat intelligence, and a…
Added 50 mins ago
Key Holder Key Holder
ELC Beauty LLC
Montreal, QC · Anjou, QC
…to lead by example, modelling the behaviors that the sales team need to demonstrate in order to provide inspirational, authentic and personalized customer service to achieve all sales and…
Added 1 hour ago
LM
DIRECTOR OF INFORMATION TECHNOLOGY
Lacroix Médecine Privée
Quebec, QC
- Full-time
He is also responsible for the performance of his team and the organization's technology partner ecosystem. This role is for an experienced, business-oriented, and results-driven IT leader…
Added 1 hour ago
T
Personal Banking Associate - Sainte-Marthe-sur-le-Lac (Full-time, 37.5h/week)
TD
Sainte-Marthe-sur-le-Lac, QC
- Full-time
Help build a positive and equitable work environment by promoting team effectiveness, participating in personal performance development and sharing industry knowledge to achieve common…
Added 1 hour ago
AW
Senior Developer - R&D Tools & Systems
Arctic Wolf
Waterloo, ON
- $75,000 to $246,000 CAD / year
- Full-time
We are a global leader in security operations, helping organizations stay resilient against evolving cyber threats through industry-leading security operations, threat intelligence, and a…
Added 1 hour ago
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IT System Architecture Specialist-EN
CAE
Montreal, QC
- Full-time
As an IT System Architecture Specialist on our team, your mission is to be the technical leader in multidisciplinary teams including architecture, customer experience, cybersecurity,…
Added 1 hour ago
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Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…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…
Added 1 hour ago
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Senior Product Analyst (Application Support)
FCC / FAC
Regina, SK
- Full-time
Informal leader and mentor who can influence outcomes and provide guidance to team members and stakeholders
Added 1 hour ago
MP
Senior Security Analyst
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Pickering, ON
- Full-time
Our Information Technology team works closely with each department across the business to design, build and deliver innovative solutions that help make MPAC an international leader in the…
Added 1 hour ago
TC
Senior Strategic Sourcing Specialist
The CSL Group Inc
Montreal, QC
- Other
Continuous professional development: We invest in your growth with training and advancement opportunities.
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Copy of Senior Genesys Cloud PS Consultant (Genesys AI experience)
Miratech
Mississauga, ON · Toronto
- Full-time
Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
Added 1 hour ago
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Copy of Copy of Senior Genesys Cloud PS Consultant (Genesys AI experience)
Miratech
Vaughan, ON · Toronto
- Full-time
Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.

lululemon

Principal AI/ML Engineer

Vancouver, BC, Canada

Full-time

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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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