Senior Software Engineer - Data and AI Platforms

1. Job Overview:

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 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.

Role purpose

As a Senior Software Engineer on Enterprise Data & AI, 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.

Why Join Us

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 $147,300 - $193,300 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, 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.

2. Key Responsibilities:

• 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

3. Required Qualifications:

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

4. Required Skills:

• 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
• Demonstrated ability to decompose highly complex problems including algorithmic challenges into scalable solutions; deep understanding of system-wide implications of technical decisions across multiple services
• Experience designing integration solutions for complex domain areas; track record of driving integration implementation decisions across teams within architectural standards
• Experience building knowledge bases in retail or similar domains
• Familiarity with search, recommender and RAG/GraphRAG hybrid retrieval architectures
• Experience defining enterprise semantic layers used across multiple product teams
• Exposure to AI-Driven systems – optimization, predictions and Agents
• Experience working with knowledge representation for LLM-powered applications

5. Preferred Qualifications:

• Master’s degree beneficial (as noted in Qualifications)

6. Experience Requirements:

• 6-10 years of software development experience

7. Additional Job Information:

• Employment type: Full-time
• Work mode: On-site (work performed onsite, minimum 4 days per week)
• Notice period: (not specified in source)
• Locations: United States of America; Washington State; King County, WA; Seattle, WA
• Business Unit: Store Support Centre (SSC)
• Time Type: Full-time
• Applicant authorization: Applicants must be authorized to work for ANY employer in the U.S.; lululemon is unable to sponsor or take over sponsorship of employment visa at this time for this role.
• Application instructions: Apply Now via the employer-provided application link (Apply Now).