Customer Engineer, Infrastructure Modernization for AI

Overview

This role at Google involves supporting customers by designing, deploying, and optimizing modern cloud infrastructure for AI applications. Candidates must have 10 years experience in cloud native architectures and experience presenting to technical and executive stakeholders.

Responsibilities

• Advise top customers on integrating AI accelerators into cloud strategies.
• Design and prototype large-scale training and inferencing platforms.
• Collaborate with sales teams to close technical agreements.
• Engage in hands-on deployments in customer data centers.
• Advocate for customer requirements with internal engineering teams.

Qualifications

Minimum requirements include a Bachelor’s degree (or equivalent) and 10 years of relevant experience. Hands on experience with high performance infrastructure technology, container orchestration (e.g., Kubernetes), and networking is essential. Preferred qualifications include a Master’s degree, experience in IT infrastructure consultancy, and deep understanding of AI hardware and software stacks.

Key Skills/Competency

• Cloud native
• Infrastructure
• AI/ML
• Customer engagement
• Data centers
• Networking
• Kubernetes
• Virtualization
• Prototyping
• Technical consulting