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Added 14 mins ago
A
Spécialiste Qualité Fournisseurs
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- $40 to $55 CAD / hour
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Human Factors Engineer
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…Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and…
Added 29 mins ago
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Added 1 hour ago
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Added 3 hours ago
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Oracle Fusion Financial Engineer - Subscriptions, Billing & Revenue
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Added 3 hours ago
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AI Engineer (Agentic Systems)
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lululemon

Senior Software Engineer – AI Agents

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 29, 2026
Experience: 6-10 years of software development experience, building complex systems and driving technical initiatives across teams, or equivalent
Posting language: English
Posted: Oct 30, 2026

Original job description

Requirements

Description & Requirements

who we are

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.

About This Team

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.

Core Responsibilities

As 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 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
Strong 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 AWS
Strong 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 Python

nice to have

Experience with Amazon Bedrock AgentCore, Bedrock Agents, or related AWS agentic AI capabilities.
Familiarity with CI/CD and Infrastructure as Code, such as GitHub Actions
Experience integrating AI agents with enterprise systems such as ServiceNow, Workday, Salesforce, Jira, Microsoft 365, SharePoint, Teams, and custom business applications.

must haves

Acknowledge 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 Notes

Authorization to work in Canada is required for this role.

Compensation And Benefits Package

lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from  $132,600 – 174,000 annually; 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.  

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 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 (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 arrangement

Hybrid : In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.

Apply About employer

More about this job

Responsibilities

Lead the design and implementation of complex, scalable software systems and AI agent solutions across multiple services, setting technical direction and engineering standards. Guide code and design reviews, mentor engineers, partner with product and business stakeholders, and lead responses to critical production incidents.

Requirements

Requires a bachelor's degree in a relevant technical field or equivalent experience, with 6–10 years of software development experience and a record of leading technical initiatives across teams. Candidates should have hands-on expertise in LLMs, AI agents and orchestration frameworks, AWS Bedrock and serverless services, and secure enterprise integrations.

Skills

Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
AI Agent Development
Agentic Workflows
AWS Bedrock
Python
CrewAI
LangGraph
AWS Lambda
API Gateway
Model Context Protocol
Serverless Applications
System Design
Integration Architecture
Infrastructure as Code

Benefits

Annual Bonus Program
Extended Health Benefits
Dental Benefits
Mental Health Plans
Paid Time Off
Savings and Retirement Plan Matching
Employee Discount
Fitness and Yoga Classes
Parenthood Top-Up
Development Courses
People Networks
Mentorship Programs
Leadership Series

Visa sponsorship

Not detected in the job text

Keywords

Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Structured Outputs
Tool Calling
Context Management
AI Agents
Agentic Workflows
Human-in-the-Loop
Agent Evaluation
AWS Bedrock
Bedrock Knowledge Bases
Bedrock Guardrails
CrewAI
LangGraph
AWS Lambda
Amazon API Gateway
AWS IAM
Amazon S3
Amazon DynamoDB
Amazon EventBridge
AWS Step Functions
Model Context Protocol
Python
GitHub Actions
Infrastructure as Code
Enterprise Integrations
System Design
API Design
CI/CD

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