Senior Software Engineer - Agentic AI & Automation Business Unit: Store Support Centre (SSC) 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

Automation team identifies and delivers organizational and persona-based opportunities to improve productivity, efficiency, and employee experience through automation, agentic automation, and AI. We partner with business and technology teams across lululemon to design, build, and scale intelligent solutions using various agentic automation and emerging AI technologies, while establishing the governance, standards, and platforms that enable automation and AI to be adopted securely, responsibly, and at enterprise scale. As a Senior Software Engineer, you will lead the design and implementation of complex software systems and features spanning multiple services and components, establishing technical direction for the domain area including API design standards, data modeling approaches, and integration patterns while ensuring solutions meet scalability, reliability, and performance requirements.

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. 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 Hands-on experience designing and deploying AI solutions using AWS Bedrock, Amazon SageMaker, and enterprise LLM platforms such as OpenAI, Anthropic Claude, and Microsoft Azure AI services. Deep experience building agentic automation solutions using platforms such as Microsoft Copilot Studio, UiPath Agent Builder/Agentic Automation, and Power Platform. Solid understanding of multi-agent architectures, orchestration frameworks, tool calling, prompt engineering, memory management, RAG (Retrieval-Augmented Generation), and agent evaluation frameworks.

Experience integrating AI agents with enterprise systems such as ServiceNow, Workday, Salesforce, Jira, Microsoft 365, SharePoint, Teams, and custom business applications. Acknowledge the presence of choice in every moment and take personal responsibility for your life. Foster connection by putting people first and building trusting relationships. 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, advantages, 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 [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 - Agentic AI & Automation (Vancouver)
🏢 lululemon athletica
📍 Vancouver