Senior Software Engineer - Data and AI Platforms
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Key skills for this role
About the Role
lululemon seeks a Senior Software Engineer to design and build data systems, AI-enabled platform capabilities, and enterprise solutions. The role involves working at the intersection of Data, AI/LLM retrieval, and distributed systems.
Key Skills for This Role
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
- 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
- Mentor engineers at multiple levels providing guidance on advanced technical concepts and career development
Requirements
- 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
- Demonstrated ability to decompose highly complex problems including algorithmic challenges into scalable solutions
- Experience designing integration solutions for complex domain areas
- 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
Full Job Posting
Who we are
- lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits.
- We create transformational products and experiences that support people in moving, growing, connecting, and being well.
About This Team
- The Enterprise Data & AI team owns and builds 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.
Core Responsibilities
- As a Senior Software Engineer, you will design and build data systems, AI enabled platform capabilities, and enterprise solutions that support multiple product teams.
- 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.
- You will conduct high impact code reviews focusing on system design and long term maintainability.
- You will 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.
- You will partner with product and business stakeholders on technical strategy and roadmap planning.
- You will represent engineering perspective in cross functional initiatives while leading incident response for critical production issues.
Select Responsibilities Include
- 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
Qualifications
- 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
- 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
Additional Notes
- 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
- The typical hiring range for this position is from $147,300 $193,300 annually
- 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
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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