AI Customer Engineer, Google Cloud

Technology, Data & Digital · Data, AI & Analytics · Artificial Intelligence · Cloud Engineering

In short

We are seeking an AI Customer Engineer for Google Cloud in Gurugram, India. You will drive technical solutions for complex AI workloads, partner with technical sales teams, and build prototypes to accelerate customer adoption of AI models and cloud technologies. Requires a Bachelor's degree in a technical field, 6 years of cloud native architecture experience, and strong coding skills.

Responsibilities

Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp.
Combine business strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
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.

Requirements

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.

Desired Qualifications

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.

Benefits

The world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform.
Collaborative culture providing direct access to DeepMind's engineering and research minds.
Opportunity to be the catalyst for Google Cloud's mission, drive customer success, and define the new cloud era.

Skills

PythonJavaScriptTypeScriptGoJavaLangGraphSemantic KernelGoogle AI Agent Development KitOpenAPIModel Context ProtocolAPI Gateways

#AI#Customer Engineer#Google Cloud#Cloud Native#Architecture#Python#JavaScript#TypeScript#Go#Java#RAG#Text-to-SQL#Semantic Search#LangGraph#Semantic Kernel#Google AI Agent Development Kit#SaaS#iPaaS#Business Automation#Cloud Infrastructure#Agentic AI#Cloud Networking#OpenAPI#Model Context Protocol#API Gateways#Observability#Distributed Tracing#Logging#Audit Logging#Vertex AI#Gemini

About Google

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At Google, our mission is to organize the world's information and make it universally accessible and useful. From Search to AI, we develop products and services that improve the lives of billions, empowering individuals and businesses globally. We're driven by a passion for innovation, a commitment to solving complex problems, and a belief in the transformative power of technology. Since our founding in 1998, we've remained dedicated to creating a more helpful and connected world.

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