Description

Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.
• 5 years of experience in technical architecture, systems engineering, or infrastructure delivery for enterprise clients.
• 5 years of experience in technical solution delivery and project management.
• 5 years of experience in customer management and stakeholder engagement for deployments.
• 3 years of experience with AI/ML Infrastructure (e.g., GPUs, GKE, EKS, Kubernetes, Kubeflow).

Preferred qualifications:

• MBA or advanced degree in Computer Science, Engineering or a related field.
• Experience with 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, SRE.
• Experience in one or more of the following areas: Data Center Infrastructure, Networking, Compute, Storage.

About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

The Google Enterprise Services team leads the deployment of the world's most advanced accelerated computing systems. We help global enterprises architect and implement massive-scale infrastructure across on-premise, hybrid and cloud environments.

As an Integration Architect, you will bridge the gap between specialized hardware and enterprise software, shaping the future of distributed computing for the world's largest organizations. You will lead the technical delivery of confidential, compute projects for strategic customers. You will serve as the primary technical liaison between global clients, internal engineering teams, and internal operations. Your role involves designing On Premises (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.

The US base salary range for this full-time position is $153,000-$222,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• 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, 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.

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Requisition #: 136122746739270342

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