Senior Software Engineer - Agentic AI & Automation

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.

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 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. This role may require availability outside of standard business hours, including on‑call support, based on business needs.

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

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

Hands-on experience designing and deploying AI solutions using AWS Bedrock, Amazon Sage Maker, 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.

Strong understanding of multi-agent architectures, orchestration frameworks, tool calling, prompt engineering, memory…