Senior Software Engineer Ai Agents

Business Unit:
Store Support Centre (SSC)Time Type:
Full-timeDescription & Requirements
who we arelululemon 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 teamThe 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.Core responsibilitiesAs a Senior Software Engineer – AI Agents, 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.Select responsibilities include:Lead implementation of complex systems and features spanning multiple services within established architectural frameworks and make decisions with minimal supervisionWrite exemplary code demonstrating engineering best practices in critical systems as technical reference for teamsEstablish and enforce coding standards, testing practices, and engineering best practices across multiple teams in domainProvide technical input and implementation perspectives to architects on system design and integration approachesLead code quality and design reviews across teams ensuring technical alignment with organizational standardsqualificationsBachelor’s degree in Computer Science, Software Engineering, or related technical field;
Master’s degree beneficial, or equivalent experience6-10 years of software development experience, building complex systems and driving technical initiatives across teams, or equivalentProven track record of writing exemplary code that serves as a technical reference;
experience establishingcoding standards and quality practices adopted across a domainDemonstrated ability to decompose highly complex problems including algorithmic challenges into scalable solutions;
deep understanding of system-wide implications of technical decisions across multiple servicesExperience designing integration solutions for complex domain areas;
track record of drivingintegration implementation decisions across teams within architectural standardsStrong hands‑on experience working with Large Language Models (LLMs), including prompt engineering, RAG pipelines, structured outputs, tool/function calling, context management, model selection, and integrating LLMs into enterprise applications.Hands‑on experience designing and building AI agents and agentic workflows, including tool‑enabled agents, multi‑step reasoning/workflows, human‑in‑the‑loop patterns, state management, error handling, and agent evaluation in AWSStrong experience with AWS Bedrock, including foundation model integration, Bedrock APIs, model invocation, knowledge bases/RAG patterns, guardrails, and building enterprise AI solutions on AWS.Hands‑on experience with CrewAI, LangGraph or similar agent orchestration frameworks for developing stateful agent workflows, including nodes, tools, conditional routing, state management, retries, and human‑in‑the‑loop processes.Experience developing serverless AI applications on AWS, particularly using AWS Lambda, API Gateway, IAM, S3, DynamoDB, EventBridge and/or Step Functions.Experience designing and integrating Model Context Protocol (MCP) servers and clients, including exposing enterprise tools/data to AI agents and implementing secure tool integration patterns.Understanding and hands‑on experience of a programming language, preferably Pythonnice to haveExperience with Amazon Bedrock AgentCore, Bedrock Agents, or related AWS agentic AI capabilities.Familiarity with CI/CD and Infrastructure as Code, such as GitHub ActionsExperience integrating AI agents with enterprise systems such as ServiceNow, Workday, Salesforce, Jira, Microsoft 365, SharePoint, Teams, and custom business applications.Must havesAcknowledge the presence of choice in every moment and take personal responsibility for your life.Possess an entrepreneurial spirit and continuously innovate to achieve great results.Communicate with honesty and kindness and create the space for others to do the same.Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.Foster connection by putting people first and building trusting relationships.Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.Additional notesAuthorization to work in Canada is required for this role.Compensation and benefits packagelululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and teamperformance. Thetypical hiring range for this position is from $132,600 – 174,000
annually ;
the base pay offered isbased 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 plansPaid time offSavings and retirement plan matchingParenthood top‑upExtensive catalog of development course offeringsPeople 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 arrangementHybrid :In‑person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.Only those applicants under consideration will be contacted. Please accept our utmost appreciation for your interest. Lululemon is an Equal Employment Opportunity employer. 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 at View email address on ca.hrm.tc. In your email, please include the position title, the location of the position and the nature of your request.At lululemon, we are committed to privacy, integrity, transparency, and ethical hiring practices. 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.
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