Sr. AI Infrastructure Engineer

The Sr. AI Infrastructure Engineer position in Computer Science centres on providing technical leadership and architectural direction for Kubernetes/OpenShift based AI/ML platform design, scalability strategy, security posture, and operational standards. It would suit someone who can bring drive the vision for scalable, secure, and reliable AI systems while partnering closely with engineering, product, and executive stakeholders to the role.

Role overview

Required qualifications: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).10+ years of experience in Dev. Candidates must be based there, as the position requires working from the office at least three days per week (3:2 hybrid policy).

Technical work involved

Provide technical leadership and architectural direction for Kubernetes/OpenShift based AI/ML platform design, scalability strategy, security posture, and operational standards. Overseeing platform roadmap, ensuring alignment with Lenovo’s broader Hybrid AI strategy and enterprise architecture principles. Leading engineering teams in implementing GitOps driven, cloud native platform automation using ArgoCD and Helm.

What helps in this technical setting

Drive the vision for scalable, secure, and reliable AI systems while partnering closely with engineering, product, and executive stakeholders.

Technical skills and experience

• We are assembling a world-class team of researchers, engineers, and innovators to position Lenovo and its customers at the forefront of the generational shift toward AI.
• Lenovo is seeking a senior technical leader to guide the strategy, architecture, and delivery of our next generation Hybrid AI Platform.

Job details

• Work model: Hybrid.
• Additional detail: Flexible working options may be available.