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Consumer Experience (CX) Strategy lead
Sanofi
Toronto, ON
- Full-time
The Consumer Experience (CX) Strategy lead provides the end-to-end consumer experience strategy and digital solutions for Sanofi patients, customers, and staffs to work seamlessly and…
Added 7 mins ago
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Products & Service Sales Manager
Finning
Calgary, AB
- Full-time
The Product & Service Sales Manager – Power & Energy is a senior customer-facing leadership role responsible for driving profitable growth across power generation equipment, energy…
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Scientist II
Evonik
Burnaby, BC
- Full-time
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Technical Product Manager - Platforms & Integrations
Accurant International
Remote, Canada
- $120,000 to $140,000 CAD / year
- Full-time
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Independently lead assigned product initiatives from discovery through launch, driving decisions, stakeholder alignment, and product acceptance.
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Technical Manager, Quality Process Management - APQR - ** 12 Month Contract Position**
Roche
Mississauga, ON · Canada Pharma Campus
- Full-time
The Technical Manager, Quality Process Management - APQR, supports and executes the APQR process per Annual Product Quality Review (APQR) Requirements and Annual Product Quality Review…
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Canada
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Dorval, QC
Interact extensively with customers to clarify their needs, recommend products and/or services, source product and provide pricing.
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Principal Product Designer
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American Eagle Outfitters
Mississauga, ON
- Full-time
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RQ11844 - Software Developer - Senior
Maarut
Toronto, ON
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a product's extensibility and maintainability.
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Director, Marketing
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ON · Oakville, ON
Lead the development and management of brand strategy, positioning, and messaging across multiple brands and business units.
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Yard and Warehouse Manager - Burnaby
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Calgary, AB
- Full-time
Lead, coach, and develop yard and warehouse employees while fostering a positive, accountable team culture.
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CNC Machine Operator - Precision Equipment
CyberCoders
Chatham, NB
- $30 to $32 CAD / hour
- Contract
Use precision measuring instruments to verify product quality
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Customer Success Coordinator
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Montreal, QC
- Full-time
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Halifax, NS
- Full-time
Ongoing coaching, learning, and development opportunities
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Sales & Customer Relations Manager
RETYCHE
Montreal, QC
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…these values and wants to grow with us as we expand. You’ll lead our boutique team, build a loyal client community, and make every visit feel…
Added 22 mins ago
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Toronto, ON
…high-quality integration solutions across complex client and product ecosystems. This highly experienced individual contributor role takes strong ownership of solution quality and…
Added 22 mins ago
BDR - Canada - University Graduates (AH-P) (P)
HubSpot
Toronto, ON
🚀 Join HubSpot as an Outbound Business Development Representative (BDR). We are hiring for start dates after graduation!
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Principal Product Manager
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Remote, Canada
- Full-time
- Remote
We’re looking for a Principal Product Manager to define the future of our Enterprise Customer Education segment, helping Absorb’s enterprise clients train and enable their customers at…
Added 22 mins ago
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Retail Team Lead, FT
New Balance
London, ON
- Full-time
As part of the New Balance retail leadership team, the part-time Retail Team Lead assists with duties such as opening/closing the store, driving results and delivering a world class…
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Senior Data Scientist (Applied ML) - Canada
NerdWallet
Remote, Canada
- $161,000 to $243,000 CAD / year
- Full-time
- Remote
In this role, you will lead the development of production-grade machine learning solutions that power some of NerdWallet's most critical business decisions. From predicting customer…
Added 22 mins ago
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Client Relationship Management - Lead Specialist
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Montreal, QC
- Full-time
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Added 22 mins ago
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Category Growth Specialist, Protein
Sysco
Calgary, AB · Sysco Calgary
- Full-time
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Added 22 mins ago
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Assistant Service Manager
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- From $21.5 CAD / hour
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lululemon

Principal AI/ML Engineer

Vancouver, BC, Canada

Full-time

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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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