AI Adoption Customer Engineer, Google Cloud (English, Korean)

About

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. As an AI Adoption Customer Engineer (CE) you will embed with our most strategic customers to drive the adoption of Google Cloud enterprise AI products, acting as a trusted advisor to customer stakeholders, partners, and internal product and engineering teams.

Responsibilities

• Develop and orchestrate a structured, end-to-end deployment plan across customer, professional services, and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness.
• Employ code development, debugging, or systems design to resolve technical blockers and accelerate customer time-to-value.
• Drive and track progress of the initial and ongoing adoption of enterprise AI, accelerating customers from initial agreement to business outcomes as quickly as possible.
• Identify and develop opportunities for new enterprise AI use cases during project execution.
• Drive sustainable product usage to help customers realize ongoing business value.

Requirements

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 10 years of experience with cloud native enterprise architecture in a customer-facing or support role.
• Experience in deployment planning, delivery orchestration, or change management.
• Experience developing AI/Generative AI (GenAI) solutions utilizing AI tools and designing multi-agent workflows and retrieval-augmented generation (RAG) systems.
• Experience engaging with, presenting to, or influencing technical stakeholders or executive leaders.
• Ability to communicate in English and Korean fluently as this is a customer-facing role that requires interactions with local stakeholders.

Preferred

• Master's degree or PhD in AI, Computer Science, or a related technical field.
• Experience with development or implementation of AI agents in an enterprise environment.
• Experience simultaneously guiding multiple customers through the organizational change and delivery preparation to adopt new, cloud-powered business processes.
• Experience working with product and support teams and using technical proficiencies to resolve blockers and accelerate customer delivery.
• Ability to perform deep 'discovery' interviews to find the true business problem and translate complex hardware/AI constraints for C-suites and deep-technical teams.
• Background in architecting AI solutions within infrastructures, ensuring data sovereignty and secure governance.

Benefits

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