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Customer Engineer, Advanced Technology, Google Cloud, Digital Native

Google
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Beijing, ChinaPosted 3d ago

About the role

Advanced role in Google Cloud helping customers transform with advanced cognitive systems and secure, data-connected applications. Partners with technical business teams to highlight platform, map requirements, and demonstrate value to clients.

Responsibilities

  • Drive the technical win for workloads within Gemini Enterprise to ensure adoption, supporting the business cycle from technical evaluation through customer ramp. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
  • Combine business strategies with direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
  • Provide technical consultation to customers on enterprise intelligent systems integration patterns, acting as a technical advisor and building customer relationships.
  • Work with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. Work within Product and Engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues.
  • Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud-native architecture in a customer-facing or support role, with application development and integration.
  • Experience with search systems including retrieval, ranking, and search quality tuning.
  • Experience with presenting to technical stakeholders and executive leaders.
  • Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.
  • Experience in architecting solutions that integrate computational models using agents with enterprise data sources using patterns like Retrieval-Augmented Generation (RAG), Text-to-SQL, and semantic search.

Skills

Required:Cloud-native architectureSearch systems (retrieval, ranking, search quality tuning)Executive and stakeholder communicationProgramming languages
Last updated Oct 23, 2026. Interested? Apply on the company site.

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