Customer Engineer, Cloud AI, Google Cloud
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Customer Engineer, Cloud AI, Google Cloud — Google, Amsterdam, Netherlands — Mid
About the job
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
In this role, you will partner with technical business teams to differentiate Google Cloud to the customers. You will serve as the technical expert on integrating Generative Artificial Intelligence (GenAI) into enterprise environments, moving beyond simple chat interfaces to architecting secure and data connected solutions. You will engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will blend market knowledge and technical engagement to prove the value of the Google Cloud AI portfolio.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Netherlands: €94000 - €96000 (EUR) + 42.86% bonus target + equity + benefits
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 4 years of experience with cloud native architecture in a customer-facing or support role.
- Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like RAG, Text-to-SQL, and semantic search.
- Experience coding in Python, JavaScript or TypeScript, Go, or Java to demo, prototype, or workshop integration patterns with customers.
- Experience with search systems including retrieval, ranking, and search quality tuning.
- Experience presenting to technical stakeholders and executive leaders.
Preferred qualifications:
- Experience with iPaaS, Application Programming Interface (API) gateways, or Enterprise Service Buses (ESBs) in a cloud environment.
- Experience developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).
- Experience with functional evaluation metrics used to assess model quality and agent quality.
- Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.
- Knowledge of application integration governance and security, including OAuth2 flows and short-lived credential management.
- Understanding of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and API gateways.
Responsibilities
- Drive the technical win for workloads within Gemini enterprise to ensure adoption, support 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 sales strategies with development and prototype to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
- Provide technical consultation to customers on enterprise AI integration patterns, and act as a technical advisor and build 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 needed, and act as a public advocate for Google Cloud.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
Though Google has grown a lot since it opened in 1998, we still maintain a small company feel. At lunchtime, almost everyone eats in the office café, sitting at whatever table has an opening and enjoying conversations with Googlers from different teams. Our commitment to innovation depends on everyone being comfortable sharing ideas and opinions. Every employee is a hands-on…
Though Google has grown a lot since it opened in 1998, we still maintain a small company feel. At lunchtime, almost everyone eats in the office café, sitting at whatever table has an opening and enjoying conversations with Googlers from different teams. Our commitment to innovation depends on everyone being comfortable sharing ideas and opinions. Every employee is a hands-on contributor, and everyone wears several hats. Because we believe that each Googler is an equally important part of our success, no one hesitates to pose questions directly to anyone, at any level, in the company.