Job Overview

Google is hiring a Cloud AI Engineer for its Google Cloud Platform team. The role can be based in Hyderabad, Bengaluru, Pune, or Gurgaon. The position focuses on helping strategic customers adopt Gemini Enterprise and Google Cloud's agentic AI solutions through production-ready application architectures, autonomous agents, and customer-focused technical delivery.

The role combines generative AI engineering, intelligent agent development, customer engagement, cloud technologies, and technical advisory work. The engineer will help identify customer workflow opportunities, remove technical barriers, troubleshoot agent behavior, and support successful deployment and adoption of Google Cloud AI solutions.

Key Responsibilities

• Deliver, deploy, and implement Gemini Enterprise solutions using Agent Development Kits (ADKs) to address complex technical customer challenges.
• Serve as a trusted technical advisor for strategic customers and help accelerate adoption of Gemini Enterprise.
• Provide guidance on product challenges and work with engineering teams to address issues or identify practical workarounds.
• Recommend leading practices and deliver technical presentations tailored to business and technical stakeholders.
• Help customers identify opportunities to transform workflows through autonomous agents.
• Design and implement robust, production-ready application architectures for customer use cases using Gemini Enterprise and Google AI products.
• Monitor application performance, debug complex agent behavior, and troubleshoot technical issues.
• Lead end-to-end execution of Google Cloud Platform solution adoption for customers.

Required Skills

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• Experience building generative AI applications, intelligent agents, or LLM-powered solutions.
• Experience working directly with technical customers.
• Fluent English communication skills to support client relationship management.

Preferred Skills

• Experience building and orchestrating AI agents using Agent Development Kits or popular agent frameworks.
• Experience with frameworks such as LangChain, LlamaIndex, or AutoGen.
• Experience implementing Retrieval-Augmented Generation (RAG) architectures.
• Experience securely connecting LLMs with external productivity tools such as Google Workspace and internal databases.
• Experience using LLMs for multimodal solutions involving text, image, video, and voice.
• Experience deploying, configuring, and managing enterprise-grade generative AI platforms, particularly Gemini Enterprise.
• Understanding of security, governance, and compliance requirements for enterprise AI platforms.
• Knowledge of cloud computing, including serverless execution environments, virtualization, hosted services, multi-tenant cloud infrastructure, and secure cloud networking.

Education

A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience is required. The JD does not specify a particular engineering branch beyond Computer Science and related technical fields.

Experience

The JD does not specify a minimum or maximum number of years of experience. It does require experience building generative AI applications, intelligent agents, or LLM-powered solutions and working directly with technical customers.

Technologies

• Generative AI – Core experience area for building AI applications and customer solutions.
• Large Language Models (LLMs) – Used for LLM-powered solutions and multimodal AI applications.
• AI Agents – Used to build and orchestrate autonomous agent solutions.
• LangChain – Listed as a popular framework for agent development.
• LlamaIndex – Listed as a popular framework for agent development.
• Retrieval-Augmented Generation (RAG) – Required as a preferred architecture experience.
• Google Cloud Platform – Cloud platform knowledge is part of the preferred qualifications and the role's customer solution environment.

Work Mode & Location

The available preferred working locations are Hyderabad, Telangana; Bengaluru, Karnataka; Pune, Maharashtra; and Gurgaon, Haryana. The JD notes that interviews are in most instances conducted in person, but it does not explicitly state that the job itself is onsite, hybrid, or remote. Therefore, the SoftoJobs work mode is set to the configured default of onsite.

Who Should Apply

This opportunity is suited to candidates with a Bachelor's degree in Computer Science or a related technical field who have hands-on experience building generative AI applications, intelligent agents, or LLM-powered solutions. Candidates with experience in agent frameworks, RAG, enterprise generative AI platforms, cloud computing, and technical customer engagement align with the preferred profile.

How to Apply

Apply now through SoftoJobs to explore this opportunity.