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lululemon Principal AI/ML Engineer
Summary by AIEngineer.careers
lululemon Principal AI/ML Engineer is a AI Infrastructure Engineer role (full-time). with lululemon. in SEATTLE, US. Compensation shown: $266K–$351K. Imported listing (source: businessoffashion.com). Apply on the employer's site (businessoffashion.com).
Imported listing (source: businessoffashion.com) · Apply on businessoffashion.com
SEATTLE · US
$266K–$351K
Full-time
PRINCIPAL
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from businessoffashion.com
lululemon is seeking a Principal AI/ML Engineer to define and drive the enterprise AI/ML platform strategy, architecture, and implementation. This hands-on technical leadership role spans MLOps, generative AI, foundation model services, and agentic frameworks, partnering with architecture, product, and applied science teams to deliver scalable and responsible AI solutions across the retail ecosystem.
Responsibilities
- Define the enterprise AI/ML engineering vision and implementation strategy for the AI platform and services.
- Drive implementation of major AI initiatives with scalable, reliable, secure, and cost-effective solutions.
- Provide expert-level coding and technical leadership for AI platforms, ML infrastructure, and production AI systems.
- Partner with enterprise architects and product teams to shape company-wide AI architecture.
- Lead technical design of foundation model services, generative AI solutions, and agentic frameworks.
- Mentor Senior and Staff engineers and influence technical direction across the organization.
Requirements
- Bachelor's degree in computer science, engineering, or related field, or equivalent experience; Master's preferred.
- 11-15+ years of progressive software engineering and AI/ML engineering experience, including enterprise-scale AI systems.
- Expert-level coding ability with production-grade AI/ML systems, platforms, and infrastructure.
- Deep expertise in system design for complex ML solutions, model deployments, batch and real-time services, and evaluation frameworks.
- Experience with Python, Spark, Airflow, MLflow, feature stores, vector databases, model serving platforms, cloud AI services, Kubernetes, and modern MLOps tooling.
Nice to Have
- Retail experience preferred.
- Experience with emerging AI technologies and industry publications/contributions.
Tech Stack
PythonMLOpsKubernetesSparkAirflowMLflowGenerative AI
lululemon
Vancouver · CA · 39000+ employees
Lululemon Athletica is a multinational athletic apparel retailer that designs and sells technical clothing, footwear, and accessories for yoga, running, training, and other activities. The company operates through a global, omni-channel sales mix, including company-operated stores, online platforms, and wholesale partners.
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