AI Customer Engineer, Digital Natives, Google Cloud

Google

6 yrs Bengaluru Full Time Hybrid (office + remote)
Google logo
Posted : today
Actively hiring

Job description

Join Google Cloud's Go-To-Market team and lead the AI revolution for businesses worldwide. Leverage Google's advanced AI portfolio, including Gemini models and the Vertex AI platform, to solve complex business problems. You'll collaborate with leading minds and drive customer success in the new cloud era.

Responsibilities

Drive technical solutions for complex AI workloads, accelerating customer adoption. Develop functional, customer-tailored solutions through direct development and prototyping. Provide deep technical consultation, acting as an advisor and building lasting relationships. Document and prioritize customer feature requests, contributing to product development. Represent Google Cloud at customer sites, conferences, and events.

Qualifications

Requires a Bachelor's degree in a technical field or equivalent practical experience, with 6 years of customer-facing experience in cloud-native architecture. Must have experience architecting solutions integrating AI models with enterprise data using patterns like RAG, Text-to-SQL, and semantic search. Proficiency in Python, JavaScript, TypeScript, Go, or Java for demos and prototyping is essential.

Essential Skills

Cloud Native ArchitectureAI Model IntegrationRAGText-to-SQLSemantic SearchPythonJavaScriptTypeScriptGoJava

Good to Have

LangGraphSemantic KernelGoogle AI Agent Development Kit (ADK)SaaSiPaaSBusiness AutomationCloud InfrastructureAgentic AICloud NetworkingOpenAPIModel Context Protocol (MCP)API GatewaysDistributed TracingLoggingAudit Logging

Highlights

  • Actively hiring

More Details

RoleAI Customer Engineer, Digital Natives, Google Cloud
IndustryTechnology
DepartmentCustomer Success, Product Management
Employment TypeFull Time, Hybrid (office + remote)

About the Company

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Google

Technology

AI Customer Engineer, Digital Natives, Google Cloud at Google | SkillMX | SkillMX