Senior Data & AI Security Engineer - Secure AI at Scale

Lululemon Athletica; Seattle (WA); On-site; USD 147,000 - 193,000; Full time

Job summary

lululemon Athletica is seeking a Senior Cybersecurity Engineer for Data & AI Security to lead security initiatives across AI models, data usage, and workflows. You will partner with Data Governance, Platform Engineering, and Security Architecture to enable safe AI adoption while ensuring regulatory and privacy alignment.

The role emphasizes protecting AI ecosystems, implementing secure design, and mentoring engineers, with a strong focus on scalable security in a fast-growing retail tech

Qualifications

• Bachelor’s degree in CS, cybersecurity, or related field.
• 6–10 years leading security engineering initiatives and building security systems at scale.
• Experience with DSPM, DLP, AISPM across enterprise and cloud environments.
• Experience owning or maturing enterprise security platforms and capabilities.
• Strong systems engineering mindset with emphasis on scalable solutions, automation, and secure coding.

Responsibilities

• Lead complex security engineering initiatives and design/implement security controls and platforms.
• Build and operate enterprise security capabilities such as centralized authentication and security automation.
• Mentor junior engineers and drive knowledge sharing.
• Perform threat modeling and security assessments for complex systems.
• Own end-to-end incident response and drive long-term improvements to detection and prevention.

Skills

DSPM security

AISPM security

Data security

Security architecture

Threat modeling

Security incident response

Security automation

Secure coding

Cloud security

Education

Bachelor’s degree in Computer Science, Cybersecurity, or related field

Tools

DSPM platforms

AISPM tools

Data security technologies

Job description

lululemon Athletica is seeking a Senior Cybersecurity Engineer for Data & AI Security to lead security initiatives across AI models, data usage, and workflows. You will partner with Data Governance, Platform Engineering, and Security Architecture to enable safe AI adoption while ensuring regulatory and privacy alignment.

The role emphasizes protecting AI ecosystems, implementing secure design, and mentoring engineers, with a strong focus on scalable security in a fast-growing retail tech