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Added 42 mins ago
AC
Senior Project Manager - Civil
Accenture Construct
Toronto, ON
- Full-time
At Accenture Construct, that's the job. You'll help deliver the data centers, power grids, rail networks, factories and public infrastructure that keep communities moving - smarter, safer…
Added 42 mins ago
CT
Lead QA Engineer
Cosmo Technologies
Toronto, ON
- $95,000 to $130,000 CAD / year
- Full-time
As Lead QA Engineer, you will own the overall quality strategy for our hardware, firmware, mobile apps, cloud services and AI‑powered features. You'll combine hands-on testing (manual and…
Added 43 mins 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 43 mins ago
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Lead QA Engineer
COSMO
Remote, Canada
- $95,000 to $130,000 CAD / year
- Full-time
- Remote
As Lead QA Engineer, you will own the overall quality strategy for our hardware, firmware, mobile apps, cloud services and AI‑powered features. You’ll combine hands-on testing (manual and…
Added 58 mins ago
AC
Senior Presales Solutions Architect, AWS
Adastra Corporation
Markham, ON
- Full-time
Position data governance, cataloguing, and quality across the AWS estate, and design capacity, workload isolation, and cost-management models that keep analytics spend predictable.
Added 1 hour ago
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Senior Data Warehouse Developer
Pinnacle
Toronto, ON
- Full-time
As a senior data engineer, you will design, implement, and optimize the full-stack data infrastructure - from Snowflake clusters setup to data ingestion, transformation and report…
Added 1 hour ago
EN
Program Manager
Extreme Networks
Toronto, ON
- Full-time
Lead release readiness meetings, ensuring actions, risks, dependencies, and decisions are documented
Added 1 hour ago
ES
Senior AI Engineer
Epsilon Solutions Ltd.
Montreal, QC
- Full-time
We are seeking a Senior Level 3 AI Engineer to act as the first point of call for engineering issues across the firm’s end user AI products - Microsoft Copilot, OpenAI ChatGPT, Anthropic…
Added 1 hour ago
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Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
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…
Added 1 hour ago
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BIM Modeller - Electrical
SYSTRA
Toronto, ON
- $65,000 to $85,000 CAD / year
- Full-time
BIM Coordinator / BIM Manager / Electrical Lead Engineer
Added 2 hours ago
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Principal Product Manager, Agent Intelligence
Equinix
Toronto, ON
- Full-time
Ability to lead without authority across engineering, data science and business teams, and to explain trade-offs clearly to senior leaders
Added 3 hours ago
A
Principal MCP/AI Developer
Autodesk
Toronto, ON · ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
You are a deeply experienced engineer who thinks in systems and platforms and brings deep, hard-to-find AI/ML expertise. You are comfortable in ambiguity; you frame the right problems, and…
Added 3 hours ago
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Staff Product Engineer
Parallelz
Remote, Canada
- Full-time
- Remote
As Staff Product Engineer, you will translate our core technology into the web-based products where players discover and engage with games, and where partners extend them to their…
Added 3 hours ago
S
Senior Water Resources Engineer
Stantec
Ottawa, ON
- Full-time
We are seeking a senior Professional Engineer who has built the majority of their career around hydraulic and hydrologic modelling and is motivated by developing both high-quality models…
Added 3 hours ago
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Urban Water Resources Engineer
Stantec
Ottawa, ON
- Full-time
Coordinate with project managers, discipline leads, GIS and data specialists, and junior staff to deliver high-quality work on schedule and within budget.
Added 3 hours ago
P
Staff Product Engineer
Parallelz
Toronto, ON
- Full-time
As Staff Product Engineer, you will translate our core technology into the web-based products where players discover and engage with games, and where partners extend them to their…
Added 4 hours ago
WG
Water Treatment Project Manager
WJ Groundwater
Toronto, ON · North York, Ontario
- Full-time
Maintain high-quality documentation of WJ’s contractual activities including the collection, collation and presentation of data.
Added 4 hours ago
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Senior Full Stack Java Engineer
Miratech
ON · Ontario, CANADA
- Full-time
We are looking for a Senior Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and…
Added 7 hours ago
A
Quality Lead
Accenture
Toronto, ON
- Full-time
Accountable to (Integrated) Project Delivery Team for timely data and information regarding the status of all aspects of the project’s quality assurance and quality control and providing…
Added 11 hours ago
A
Forward Deployed AI Engineer - Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's…
Added 13 hours ago
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AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As an AI/ML Engineer, you will contribute to the design and implementation of AI/ML systems across the full model lifecycle from dataset curation, feature engineering, and model training…
Added 13 hours ago
Manager, Engineering
Toronto Hydro
Toronto, ON
Lead and develop a team of engineering and technical professionals responsible for system studies, system planning, and grid modernization initiatives.
Added 14 hours ago
C
Analyste d’affaires – D365 Business Central (Secteur Manufacturier)
CGI
Montreal, QC
- Full-time
Facilitate design workshops, train key users on Business Central and Insight Works / Quality Inspector modules, and lead change management initiatives on the manufacturing floor
Added 14 hours ago
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Continuous Improvement Engineer
Wonderbrands
Toronto, ON · Greater Toronto Area, ON
- Other
Reporting to the Continuous Improvement Leader, the Continuous Improvement Engineer will work on continuous improvement projects related to continually reducing costs and increasing overall…
Added 15 hours ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Contract
Support data governance efforts by promoting data quality, consistency, and proper use of master data.

lululemon

Principal AI/ML Engineer

Vancouver, BC, Canada

Full-time

Apply About employer

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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.

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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, 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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