Senior Software Engineer - Data and AI Platforms Business Unit: Store Support Centre (SSC)

Full-time 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.

The Enterprise

Data & AI team is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and products that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, advanced analytics capabilities, and AI solutions across lululemon’s vertically integrated retail ecosystem, embedding strong data governance and responsible AI practices from the very beginning. By applying AI to critical business challenges and creating current, 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.

As a Senior Software Engineer, you will design and build data systems, AI-enabled platform capabilities, and enterprise solutions that support multiple product teams, contributing to architectural patterns for how enterprise knowledge is modeled, connected, and consumed. You will work at the intersection of Data (logical and semantic), AI/LLM retrieval and grounding, and distributed systems and APIs.

You will drive technical decisions with broad impact across multiple teams including architecture patterns and technology selections, conduct high-impact code reviews focusing on system design and long-term maintainability, and establish engineering standards and best practices adopted across the domain including testing strategies and deployment procedures.

You will mentor engineers at multiple levels providing guidance on advanced technical concepts and career development, partner with product and business stakeholders on technical strategy and roadmap planning, and represent engineering perspective in cross-functional initiatives while leading incident response for critical production issues. Contribute to and help evolve canonical semantic models (taxonomies, ontologies, knowledge graphs)



for enterprise domains such as product, customer, and supply chain

Build and maintain systems that provide high-quality context for LLMs, including Retrieval pipelines (RAG / GraphRAG), Semantic search (embeddings, hybrid search), and evidence-based reasoning layers

Collaborate with AI/ML Science teams to validate model correctness, reduce hallucination risk, and improve trust in AI-generated outputs

Identify and address challenges of data ambiguity, duplication, and inconsistencies through data validation, schema governance, and versioning practices

Lead implementation of complex systems and features spanning multiple services within established architectural frameworks and make decisions with minimal supervision

Write exemplary code demonstrating engineering best practices in critical systems as technical reference for teams

Establish and enforce coding standards, testing practices, and engineering best practices across multiple teams in domain

Provide technical input and implementation perspectives to architects on system design and integration approaches

Lead code quality and design reviews across teams ensuring technical alignment with organizational standards

Bachelor’s degree in Computer Science, Software Engineering, or related technical field; Master’s degree beneficial, or equivalent experience

6-10 years of software development experience, building complex systems and driving technical initiatives across teams, or equivalent

Proven track record of writing exemplary code that serves as a technical reference;

experience establishing coding standards and quality practices adopted across a domain deep understanding of system-wide implications of technical decisions across multiple services track record of driving integration implementation decisions across teams within architectural standards

Experience building knowledge bases in retail or similar domains

Exposure to AI-Driven systems – optimization, predictions and Agents lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and teamperformance. 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, subject to program eligibility requirements.

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

Savings and retirement plan matching

People networks, mentorship programs, and leadership series (to name a few)

The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.

Employment decisions are based on merit and business needs, and not on race, color, creed, age, sex, gender, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state or provincial and local laws and ordinances. Reasonable accommodation is available for qualified individuals with disabilities, upon request.

This Equal Employment

Opportunity policy applies to all practices relating to recruitment and hiring, compensation, benefits, discipline, transfer, termination and all other terms and conditions of employment. While management is primarily responsible for seeing that Lululemon equal employment opportunity policies are implemented, you share in the responsibility for assuring that, by your personal actions, the policies are effective.

lululemon is committed to providing reasonable accommodation to applicants with disabilities. If you would like someone from our team to contact you for individualized support, email us at [email protected] use of AI tools, including but not limited to ChatGPT, Microsoft Copilot, Gemini, DeepSeek, or any other AI-assisted software, is strictly prohibited during the interview process. This includes, AI-generated responses, content creation, or any form of automated assistance in live interviews, case studies, technical assessments, or written submissions.

Our commitment to responsible AI ensures that proprietary information is protected and that all hiring decisions are based on an individual’s own skills, judgment, and expertise without AI assistance. Any use of AI during the interview process will result in immediate disqualification. lululemon reserves the right to use AI detection tools to verify the authenticity of candidate responses. #

📌 Senior Software Engineer - Data and AI Platforms (Vancouver)
🏢 Lululemon
📍 Vancouver