The Job

AI Customer Engineer, Public Sector, Google Cloud

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

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In short

As an AI Customer Engineer for Google Cloud's Public Sector in Gurugram, India, you will be a technical expert driving the adoption of AI solutions. You will architect, prototype, and workshop integrations, working closely with sales teams to accelerate customer wins and influence product development.

Responsibilities

  • Drive the technical solution for complex workloads within AI product areas for rapid and successful adoption.
  • Combine business strategies with direct development and prototyping to provide functional, customer-tailored solutions.
  • Provide deep technical consultation to customers, acting as a technical advisor and building lasting relationships.
  • Leverage learnings from customer engagements to contribute to reusable solutions and assets.
  • 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.
  • Act 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

  • Opportunity to be at the forefront of the AI revolution.
  • Access to Google's advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform.
  • Collaborative culture with direct access to DeepMind's engineering and research minds.
  • Google's commitment to equal opportunity and affirmative action.
#AI#Customer Engineer#Public Sector#Google Cloud#Cloud Native Architecture#AI Models#RAG#Text-to-SQL#Semantic Search#Python#JavaScript#TypeScript#Go#Java#LangGraph#Semantic Kernel#Google AI Agent Development Kit#SaaS#iPaaS#Business Automation#Cloud Infrastructure#Agentic AI#Cloud Networking#OpenAPI#Model Context Protocol#API Gateways#Distributed Tracing#Logging#Audit Logging#AI Applications
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Company

Google

Job Posted

14 hours ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Gurugram, India

Qualification

Bachelor

Applicants

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