Description & Requirements

About this team

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 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 Software Engineer, you will build and maintain data systems and AI-enabled platform capabilities that support product teams, working within established architectural patterns for how enterprise knowledge is modeled, connected, and consumed. You will develop skills and experience at the intersection of Data (logical and semantic), AI/LLM retrieval and grounding, and distributed systems and APIs.

You will lead technical design discussions presenting proposals and trade-offs, conduct thorough code reviews ensuring quality and maintainability standards, and mentor junior engineers through pair programming and technical guidance on coding practices and problem-solving approaches. You will collaborate closely with product managers and stakeholders on technical feasibility and scope definition, make technical decisions for projects including technology choices and implementation strategies, and contribute to team engineering practices and standards that improve code quality and development velocity. This role may require availability outside of standard business hours, including on-call support, based on business needs.

Select responsibilities include:

• Implement and maintain components of canonical semantic models (taxonomies, ontologies, knowledge graphs) for enterprise domains such as product, customer, and supply chain
• Build and support systems that provide high-quality context for LLMs, including Retrieval pipelines (RAG / GraphRAG), Semantic search (embeddings, hybrid search), and evidence-based reasoning layers
• Work alongside AI/ML Science teams to test and validate model outputs, surfacing issues that contribute to hallucination risk or reduced trust in AI-generated outputs
• Identify and escalate challenges related to data ambiguity, duplication, and inconsistencies, and implement fixes in line with established schema governance and versioning practices
• Design and implement technical solutions for features and systems within established architectural frameworks including component design, API contracts, and data models
• Write high-quality, scalable code across the full technology stack following software engineering best practices
• Lead technical design discussions on implementation approaches presenting proposals and facilitating team alignment
• Conduct thorough code reviews ensuring adherence to standards, identifying security vulnerabilities, and providing mentorship through feedback
• Implement comprehensive automated testing strategies including unit, integration, and end-to-end tests to ensure quality

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent experience
• 4-8 years of software development experience designing scalable systems and leading technical implementation, or equivalent
• Proven experience designing and implementing features with high-quality, well-tested code; track record of leading code reviews and providing constructive mentorship through feedback
• Demonstrated ability to decompose complex problems into implementable solutions; experience analysing how technical decisions propagate across distributed systems
• Experience designing and implementing complex integrations ensuring reliable inter-system communication; familiarity with presenting integration approaches and architectural trade-offs
• Experience building knowledge bases in retail or similar domains
• Familiarity with search, recommender and RAG/GraphRAG hybrid retrieval architectures
• Exposure to AI-driven systems - optimization, predictions and Agents
• Experience working with knowledge representation for LLM-powered applications

additional notes

For all US-based SSC roles:

Please note: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of employment visa at this time for this role.

compensation and benefits package

lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and teamperformance. Thetypical hiring range for this position is from$124,500 - $163,400annually; 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.

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

Hybrid

In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.

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