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Support complex AI workloads for ITES clients from technical evaluation through adoption and ramp, combining business strategy with development and prototyping to deliver customer-tailored solutions. Provide technical consultation, build relationships, and advocate for Google Cloud at customer sites and events. Requires a bachelor's degree and six years of ITES client experience, with ability to engage technical and executive stakeholders. Preferred experience includes developing financial services or telecom agents using LangGraph, Semantic Kernel, or Google AI Agent Development Kit, plus knowledge of cloud technologies, integration patterns, and AI observability.

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Job Description

  • 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 technical consultation to customers, acting as a technical advisor and building customer relationships.
  • Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-to-Market team. Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.
  • Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 6 years of experience working for ITES clients.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications:

  • Experience in developing financial services or telecommunication 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.
  • 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.
  • Bachelor's degree or equivalent practical experience.
  • 6 years of experience working for ITES clients.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.
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  • Role AI Customer Engineer, ITES Google Cloud
  • Experience 3-4 years
  • Education Any
  • Work type On-site
  • Location India
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview
Eligibility
India Right to work in India required.
Workplace
On-site
Job Posted:
3 days ago
Job Type
Full Time
Education
Any
Experience
3-4 years

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