Customer Engineer, Cloud AI Platform (English, Korean)

Google•Apply•Published 9 hours ago•First seen 8 hours ago

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.

As a Practice Customer Engineer specializing in Gemini Enterprise, you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the technical authority on integrating Generative AI into complex enterprise environments, moving beyond simple chat interfaces to architect robust, secure, and data-connected solutions. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales prowess, market knowledge, and technical engagement to prove the value of the Google Cloud AI portfolio.

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.

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 sales strategies with development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
Provide technical consultation to customers on enterprise AI 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.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
10 years of experience with cloud-native architecture in a customer-facing or support role, with focus on application development and integration.
Experience architecting solutions that integrate AI models using agents with enterprise data sources using patterns such as RAG, Text-to-SQL, and semantic search.
Experience with Search Systems, including retrieval, ranking, and search quality tuning.
Ability to communicate in English and Korean fluently as this is a customer-facing role that requires interactions in English and Korean with local stakeholders.

Preferred qualifications:

Experience developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI ADK.
Experience with iPaaS, API Gateways, or Enterprise Service Buses (ESBs) in a cloud environment.
Experience coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.
Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.
Understanding of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and API Gateways.
Familiarity with functional evaluation metrics used to assess model quality and agent quality.