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Added 14 mins ago
HI
Information Security Specialist
Healthcare Insurance Reciprocal of Canada (HIROC)
Toronto, ON
- Contract
Collaborate with PEIS team to ensure the optimal function of key security applications and systems by working with HIROC’s Managed Security Service Provider(MSSP), including but not limited…
Added 14 mins ago
I
Senior QA Analyst
Indidual
Toronto, ON
- Contract
…the various components. The tester will work with the testing lead and IT lead of each project as well as the project team members in the analysis, design, development, implementation and…
Added 14 mins ago
NB
Chief Artificial Intelligence Architect
National Bank of Canada
Montreal, QC
- Full-time
…scale, at speed, and within its risk appetite, while preserving security, regulatory compliance, ethical standards, and enterprise…
Added 14 mins ago
G
Mainframe Infra Engineer
Galent
Toronto, ON
- Contract
Coordinate with systems programmers, security, and application teams to plan patch windows and manage changes through the CAB process.
Added 14 mins ago
T
Performance Engineering Lead
TD
Mississauga, ON · Toronto, ON
- Full-time
Provide technical leadership to improve the design and operation of systems in alignment to performance/reliability engineering best practices and overall Technology and Bank strategies,…
Added 29 mins ago
RA
Staff Software Engineer, Platform
Rivian and Volkswagen Group Technologies
Remote, Canada
- $137,300 to $181,890 CAD / year
- Full-time
- Remote
…pragmatic delivery. Our backend stack centers on Go, and our systems require thoughtful API design, security, and dependable operation at…
Added 29 mins ago
GD
Senior Human Factors Engineering Analyst
General Dynamics Missions System International
Ottawa, ON
- $110,000 to $138,000 CAD / year
- Full-time
It is a requirement that General Dynamics Mission Systems-Canada be registered with the Canadian Controlled Goods program and that all of its workforce be security assessed. Successful…
Added 44 mins ago
GD
Senior Human Factors Engineering Analyst
General Dynamics Mission Systems–Canada
Ottawa, ON
- $110,000 to $138,000 CAD / year
- Full-time
It is a requirement that General Dynamics Mission Systems-Canada be registered with the Canadian Controlled Goods program and that all of its workforce be security assessed. Successful…
Added 45 mins ago
Director, Surveys and Geomatics
Infrastructure Ontario
Toronto, ON
Oversee the management of GIS systems and related service providers, recommend technological upgrades, and ensure data quality, access, security, and integrity.
Added 45 mins ago
Solution Architect - HPE
Converge Technology Solutions
Toronto, ON
…focus on HPE Networking technologies. This role serves as a technical leader throughout the sales and delivery lifecycle, working closely with account teams, engineering resources, HPE, and…
Added 59 mins ago
IL
Advanced Quality Engineer
Invesco Ltd.
Charlottetown, PE
- Full-time
…DevOps, and UX teams to validate functionality, performance, security, and overall user experience. The Advanced SQA Analyst brings strong technical expertise, mentoring capabilities, and…
Added 59 mins ago
F
Business Development Representative
Fortive
Toronto, ON
- Full-time
Have a technical understanding of and ability to articulate and demonstrate Intelex’s product line and value proposition
Added 1 hour ago
VP
System Integration Project Manager
Vista Projects
Calgary, AB
- Full-time
…development and emerging AI tooling. This role coordinates the technical, administrative, and financial details of each project so the execution team can focus on exceptional service and…
Added 1 hour ago
TT
Procurement and Supply Chain Intern – Summer 2027
TTM Technologies
Toronto, ON
- Full-time
TTM Technologies, Inc. is a leading global manufacturer of technology products, including mission systems, radio frequency (“RF”) components, RF microwave/microelectronic assemblies, and…
Added 1 hour ago
S
Clerical Associate (SecurTek Tech Support)
SaskTel
Yorkton, SK
- Full-time
…of employment and will cover orientation, SaskTel specific systems training as well as technical…
Added 1 hour ago
TC
District Manager (East Region)
Toronto Community Housing
Toronto, ON · Scarborough, ON
- Full-time
In collaboration with the AGM, participate in the development of and lead the review of performance indicators, identifying those that are below the pre-determined standard and implementing…
Added 1 hour ago
EA
Facilities Manager
Execaire Aviation
Dorval, QC
- Full-time
Experience with preventative maintenance, corrective work-order or ticketing systems, SOR development, technical bid review, building codes, audits, and contractor safety.
Added 1 hour ago
FC
Lead Global Veh Tech
FedEx Canada
Calgary, AB
- Full-time
Provides technical leadership in the safe and efficient performance of vehicle fleet maintenance and ground support equipment at repair facilities. Performs vehicle fleet and ground support…
Added 1 hour ago
BO
IT & Systems Manager (AI-First)
Bells of Steel
Calgary, AB
- Full-time
You'll lead our small technical team: our AI and internal tools developer, a contract AI engineer, and the app developers we're hiring now. You'll set the rules for how we build and review…
Added 1 hour ago
Director, Engineering, Pacific Link
Trans Mountain
Calgary, AB
Ensure appropriate constructability, operability, maintainability, safety-in-design, value improvement and technical assurance reviews are completed, and direct resolution of material…
Added 1 hour ago
Senior Application Developer (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
…and cloud-ready application architectures. You will provide technical leadership across the full software development lifecycle, contributing to solution architecture, application design,…
Added 1 hour ago
Senior Purchaser
QinetiQ
Medicine Hat, AB
…supply-risk mitigation while balancing cost, quality, delivery and technical requirements. The role maintains accurate procurement records, monitors supplier performance and ensures…
Added 1 hour ago
TG
Junior Cybersecurity Operations Analyst Intern
TMX Group
Toronto, ON
- $20 to $24 CAD / hour
- Full-time
Threat Monitoring & Analysis: Assist in the proactive monitoring, evaluation, and analysis of security events and alerts across various systems (e.g., SIEM, EDR, network logs) to detect and…
Added 1 hour ago
CC
Maintenance Specialist
Chrysos Corporation
Rouyn-Noranda, QC
- Full-time
In the role as Maintenance Specialist, you will be providing hands-on technical support service to ensure the smooth running of Chrysos Photon Assay equipment.
Added 1 hour ago
J
Digital Task and Project Support Lead
Jacobs
Toronto, ON
- $85,000 to $100,000 USD / year
- Full-time
Jacobs is seeking a Digital Task and Project Support Lead to support our internal and client‑facing digital delivery teams with the implementation of digital services across sectors, with a…

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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