Senior Data AI Platform Engineer in Vancouver

Senior Data AI Platform Engineer in Vancouver

Vancouver Full-Time 123750 - 151250 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and build data systems and AI platforms for lululemon's retail ecosystem.
  • Company: Join lululemon, a leader in innovative athletic apparel and technology.
  • Benefits: Competitive salary, health benefits, and opportunities for mentorship and growth.
  • Other info: Dynamic work environment with a focus on innovation and teamwork.
  • Why this job: Make an impact by working at the forefront of data and AI technology.
  • Qualifications: Experience in data systems, AI, and strong collaboration skills required.

The predicted salary is between 123750 - 151250 $ per year.

lululemon Senior Software Engineer - Data & AI Platforms is responsible for designing and building data systems and AI-enabled platform capabilities that support multiple product teams. You will work at the intersection of data, AI retrieval and grounding, and distributed systems to deliver enterprise solutions across lululemon’s retail ecosystem. You will mentor engineers, drive architectural decisions, establish engineering standards, and collaborate with product and business stakeholders.

Senior Data AI Platform Engineer in Vancouver employer: lululemon

At lululemon, we pride ourselves on being an exceptional employer that fosters a culture of collaboration and innovation. As the Senior Director of Merchandise Planning, you will not only lead strategic initiatives but also benefit from our commitment to employee growth through continuous learning opportunities and a supportive work environment. Located in the vibrant city of Vancouver, you'll enjoy a dynamic workplace that values wellness, creativity, and a passion for performance.

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Contact Details:

lululemon Recruitment Team

We think you need these skills to ace Senior Data AI Platform Engineer in Vancouver

Data Systems Design
AI Platform Development
Distributed Systems
Mentoring Engineers
Architectural Decision Making
Engineering Standards Establishment
Collaboration with Product Stakeholders