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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Integration Architect, Google Cloud - **Company:** Google - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Cloud Computing, Data Centers, DevOps, Machine Learning, Reliability Engineering, Service Discovery, Systems Integration, Graphics Processing Unit (GPU), Google Cloud, High Performance Computing, Pytorch, Kubernetes, Information Technology, Machine Learning Operations - **Published:** June 4, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=128cb0f66ac299d2 ## About the Role Do you have experience in Systems engineering?, Do you have a Master's degree?, * 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. ## Description 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., * 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)