AI Customer Engineer, Google Cloud (Korean, English)

About

As a 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 architecting robust, secure, and data-connected solutions. 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.

Responsibilities

• Drive the technical win for complex Gemini Enterprise workloads to ensure rapid adoption, supporting the sales cycle from evaluation through customer ramp
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure for Google Cloud solutions
• Combine sales strategies with direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from domain experts
• Provide deep technical consultation on enterprise AI integration patterns, acting as a trusted advisor
• Leverage engagements to contribute to reusable GTM assets and provide critical customer feedback to Product and Engineering teams
• Work directly with Google Cloud products to demonstrate and prototype integrations
• Use Product and Engineering management systems to document, prioritize, and drive resolution of feature requests and issues
• Travel to customer sites, conferences, and events as required, acting as a public advocate for Google Cloud

Requirements

• Bachelor's degree or equivalent practical experience
• 4 years of experience with cloud native architecture in a customer-facing or support role
• Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms
• Experience engaging with, or presenting to, technical stakeholders or executive leaders
• Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops
• 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

• Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience
• Experience developing agents using frameworks like LangGraph, Semantic Kernel, or Google AI ADK
• Experience with iPaaS, API Gateways, or ESBs in a cloud environment
• Knowledge of Application Integration Governance and Security, including OAuth2 and short-lived credentials (SPIFFE/SPIRE)
• Knowledge of Observability constructs including Distributed Tracing, Logging, and Audit Logging for AI
• Understanding of integration patterns (OpenAPI/MCP) to connect AI agents with business systems and API Gateways, and familiarity with functional evaluation metrics for Model/Agent Quality

Benefits

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