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Added 29 mins ago
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Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
Senior level: 5–8 years of progressive experience; Expert level: 10+ years in cloud platform engineering, hybrid-cloud architecture, data engineering, or MLOps.
Added 1 hour ago
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AI Solutions Engineer - Intellectual Property
Patsnap
Toronto, ON
- $80,000 to $95,000 CAD / year
- Full-time
This is not a traditional software engineering role. You won’t be expected to build production software from scratch, but you will need to be technically confident, comfortable building…
Added 1 hour ago
LE
Sr. Product Manager
LONGi Energy Storage
Burnaby, BC
- Full-time
Collaborate with R&D, hardware engineering, and firmware teams to translate customer requirements into detailed product specifications (power ratings, efficiency curves, grid-forming…
Added 2 hours ago
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Senior System Engineer – OS Kernel
Aptiv
Ottawa, ON
- Full-time
Wind River (An Aptiv Company) is seeking a Senior System Engineer – OS Kernel to contribute to the development of core kernel components for the VxWorks real-time operating system. In this…
Added 2 hours ago
RT
Information Technology Product Manager
Rang Technologies Inc
Toronto, ON
- $95 to $100 CAD / hour
- Contract
Position: Senior Specialist - IT Product Manager
Added 2 hours ago
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Information Technology Product Manager
Mindlance
Toronto, ON
- $80 to $85 CAD / hour
- Contract
Evaluate, integrate and pilot emerging technologies that expand platform capabilities and create competitive differentiation.
Added 2 hours ago
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Senior Growth Product Designer, Cross Activation
Superhuman
Vancouver, BC
- $192,000 to $265,000 USD / year
- Full-time
As a Senior Product Designer, Growth, you will design and execute activation, onboarding, and early lifecycle experiences across the Superhuman suite. You will partner closely with Product,…
Added 2 hours ago
S
AI Software Engineer
Snowflake
Remote, Canada
- $176,300 to $226,300 CAD / year
- Full-time
- Remote
…- and Canada is a critical part of that mission. Our AI/ML engineering teams are delivering the intelligence layer that powers Cortex AI, large language model inference, AI functions,…
Added 4 hours ago
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Senior Data Analyst (FT)
Brand-FX
Toronto, ON
- Contract
GOcxm is looking for an experienced Senior Data Analyst to turn GOcxm and client data into insights that drive decisions. This is a hands-on role. You'll cleanse and organize data, ensure…
Added 4 hours ago
MA
AI Architech
Meeru AI Inc
Remote, Canada
- Other
- Remote
Meeru AI is building an AI-native platform that transforms how finance and accounting teams operate. We connect to enterprise financial systems - ERPs, CRMs, billing platforms, HRIS - and…
Added 4 hours ago
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Senior Software Developer, Ottawa, Canada, Hybrid
Cisco
Ottawa, ON
- Full-time
…culture that fosters continuous learning and growth, Network Platform team members work closely across Cisco’s broader networking and security portfolios to shape the future of intent-based…
Added 5 hours ago
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Lead Software Engineer
Morningstar
Toronto, ON
- Full-time
This is a senior individual contributor role reporting to the Director of Technology. You will serve as a technical thought leader for a team of engineers - owning the end-to-end data…
Added 6 hours ago
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Senior Front End / Full Stack Software Engineer
REW.ca
Vancouver, BC
- Full-time
We’re seeking a highly skilled Senior Front End / Full Stack software engineer with deep expertise in Javascript/React.
Added 6 hours ago
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Senior Developer
Hays
Toronto, ON · Greater Toronto Area, Canada
- $65 to $75 CAD / hour
- Contract
We are seeking an urgent-need Senior Developer with strong Java and/or Python skills to support Single Sign-On (SSO) implementations using PingFederate for both Employee and Customer…
Added 6 hours ago
IS
Solutions Architect (Client Onboarding)
Iris Software Inc.
Toronto, ON
- Contract
Strong stakeholder management skills across Operations, Technology, and senior business leadership
Added 6 hours ago
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Staff Software Development Engineer – Linux Endpoint
BeyondTrust
Canada
- Full-time
…for the runtime enforcement layer of our Identity Security Platform. These components decide, in-kernel, whether to permit or deny each action an identity or AI agent attempts on a Linux…
Added 6 hours ago
D
Director, Product Design
Deel
Canada
- Full-time
As a Director of Product Design, you'll own the design agenda for a major area of the Deel platform, and you'll be accountable for how it connects to everything around it. You'll lead a…
Added 6 hours ago
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Software Development Engineer macOS
BeyondTrust
Canada
- Full-time
At least 2 years’ commercial software engineering experience for the Software Development Engineer level; typically, 5 or more years, including demonstrable technical leadership, for the…
Added 6 hours ago
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Tests and Validations Specialists
EERS
Montreal, QC
- Full-time
…involved in all phases of product design. Reporting to the Senior Hardware Design Engineer, and under supervision of the EMC specialist, we expect them to perform a variety of tasks ranging…
Added 6 hours ago
AI
Senior Software Engineer- React Native
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a Senior/Lead React Native Engineer with 8+ years of mobile engineering and 5+ years of production React Native experience.Strong expertise in React Native 0.76+, New…
Added 6 hours ago
IG
BI Modernization SME
Insight Global
Toronto, ON
- $55 to $70 CAD / hour
- Contract
- Experience supporting or leading large-scale data, analytics, reporting, or BI platform migration initiatives
Added 6 hours ago
RC
Senior AI Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
- Production Platform Engineering (CI/CD, Docker, Kubernetes, Observability)
Added 6 hours ago
VC
Project Manager / Product Owner (AI)
VK CONSULTING SERVICES
Montreal, QC
- Full-time
Partner with platform engineering and Level 3 to enable automation, environment readiness and integrations (e.g. M365, Entra ID, ServiceNow, Azure OpenAI) and to track operational SLAs and…
Added 7 hours ago
W
Software Engineer or Senior Software Engineer - Data Hub
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on…
Added 8 hours ago
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Manager, Implementation (Remote, Canada)
GoCanvas
Remote, Canada
- Full-time
- Remote
…and simplify workplace health and safety across construction, engineering, infrastructure, logistics, and beyond. We’re the highest-rated EHS platform on Gartner-owned Capterra, empowering…

Closed listing

lululemon

Principal AI/ML Engineer

Vancouver, BC, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Oct 16, 2026
Posting language: English
Posted: Sep 22, 2026

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Original job description

Archived listing. The details below describe a past opening.

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.

About employer

More about this job

Responsibilities

The Principal AI/ML Engineer will define and drive the implementation strategy for enterprise-scale AI initiatives, including platform architecture and generative AI solutions. They will act as a hands-on technical leader, guiding critical architectural decisions and mentoring engineering staff to foster AI adoption.

Requirements

Candidates must possess 11-15+ years of progressive software and AI/ML engineering experience with a strong track record in production-grade systems. A bachelor's degree in computer science or engineering is required, with a master's degree preferred.

Skills

Machine learning
Generative AI
MLOps
System design
Python
Spark
Airflow
MLFlow
Feature stores
Vector databases
Kubernetes
Cloud AI services
Technical leadership
Model lifecycle management
Data governance
Architecture

Benefits

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
Development course offerings
Mentorship programs

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
MLOps
Python
Spark
Airflow
MLFlow
Kubernetes
Vector Databases
Feature Stores
Cloud AI
System Architecture
Data Governance
Model Lifecycle Management
Retail
Enterprise AI
Agentic Frameworks
Technical Strategy
Software Engineering
Scalability
Reliability
Observability
Model Deployment
Batch Processing
Real-time Services
Evaluation Frameworks
Technical Leadership
Mentorship
Innovation

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