Software Engineer - Data and AI Platforms

Software Engineer - Data and AI Platforms

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.

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  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.

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 / Graph
  
  RAG), 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 elevate 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

• Bachelor’s degree in Computer Science,…