Integration Architect, Google Cloud

As an Integration Architect, you will lead the technical delivery of confidential, compute projects for customers. You will serve as the primary technical liaison between global clients, internal engineering teams, and internal operations. Your role involves designing on-prem and cloud-based environments, ensuring seamless integration of high-performance accelerators with enterprise-grade networking and storage to support the next generation of mission-critical, data-intensive workloads.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems., * Design and oversee the end-to-end deployment of accelerated compute clusters, acting as the lead technical advisor for confidential, enterprise infrastructure initiatives.

• Work with customer technical leads and client executives to manage and deliver successful implementations of technical solutions for high-density computing environments.
• Partner with internal specialists, Product, and Engineering teams to package technical playbooks, best practices, and reference architectures for high-performance computing, influencing the roadmap for next-generation hardware and software integration.
• Interact with Sales and partners to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
• Travel approximately 30% of the time for client engagements.

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 7 years of experience in technical architecture, systems engineering, or infrastructure delivery for enterprise clients.
• 7 years of experience in technical solution delivery and project management.
• 7 years of experience in customer management and stakeholder engagement for deployments.
• 5 years of experience with AI/ML infrastructure (e.g., GPUs, GKE, EKS, Kubernetes, Kubeflow)., * MBA or advanced degree in Computer Science, Engineering, or a related field.
• Experience in customer-facing migration, including service discovery, assessment, planning, execution, and operations.
• Experience developing and tuning AI/ML models using frameworks such as JAX, PyTorch, or OpenXLA.
• Experience in one or more of the following areas: DevOps, Security, Site Reliability Engineering (SRE), data center infrastructure, networking, compute, or storage.