AI Customer Engineer, Digital Natives, Google Cloud
Google · Bangalore
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Collected role description
Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud. Candidates should bring 6 years of experience with cloud native architecture in a customer-facing role. Applicants should meet the minimum qualification of Bachelor's degree in a technical field or equivalent practical experience.; 6 years of experience with cloud native architecture in a customer-facing 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 with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers. Preferred background includes Experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).; Experience with cloud technologies including SaaS applications, iPaaS, business automation solutions, cloud infrastructure, agentic AI, and cloud networking.; Experience engaging with, or presenting to, technical stakeholders or executive leaders.; Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) gateways.; Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications. Key skills include Text-to-SQL, semantic search., Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, Semantic Kernel, iPaaS, business automation solutions, cloud infrastructure, agentic AI, cloud networking., Experience engaging with, or presenting to, logging, audit logging for AI applications..
Collected minimum qualification
Bachelor's degree in a technical field or equivalent practical experience.; 6 years of experience with cloud native architecture in a customer-facing 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 with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.
Collected preferred qualification
Experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).; Experience with cloud technologies including SaaS applications, iPaaS, business automation solutions, cloud infrastructure, agentic AI, and cloud networking.; Experience engaging with, or presenting to, technical stakeholders or executive leaders.; Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) gateways.; Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.
Collected experience requirement
6 years of experience with cloud native architecture in a customer-facing role.