Cloud AI Engineer (English)

Google Inc.; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Google Cloud Platform seeks a Cloud AI Engineer to lead adoption of Gemini Enterprise and the broader Google AI suite. You will design robust architectures, deploy solutions with ADKs, and work with customers to transform workflows through autonomous agents.

You will monitor performance, debug complex agent behavior, and ensure high adoption rates. You will partner with customers to remove technical barriers and deliver scalable, secure AI-enabled solutions while aligning with Google's AI

Qualifications

• Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
• Experience building generative AI applications, intelligent agents, or LLM-powered solutions for technical customers.
• English fluency for client relationship management.

Responsibilities

• Deliver Gemini Enterprise solutions using ADKs to solve complex customer challenges.
• Advise strategic customers to drive Gemini Enterprise adoption.
• Collaborate with engineering to address product challenges or provide workarounds.
• Present best-practice recommendations to stakeholders to enable adoption and enablement.

Skills

Generative AI apps

Intelligent agents

LLM-powered solutions

Technical customer work

Agent Development Kits (ADKs)

LangChain / LlamaIndex / AutoGen

RAG architectures

Security & governance knowledge

Education

Bachelor's in CS or related field

Tools

LangChain

LlamaIndex

AutoGen

Google Workspace

Job description

Early

Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Pune, Maharashtra, India; Gurgaon, Haryana, India.

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

Preferred qualifications:

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

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Cloud AI Engineer, you'll play a key leadership role in ensuring that strategic customers have the best experience adopting Gemini Enterprise alongside the broader Google Cloud Agentic AI suite of products. You will design and implement robust, production-ready application architectures to support customer use cases, leveraging Gemini Enterprise and core Google AI products. You'll work with customers to identify opportunities to transform their workflows with autonomous agents, actively removing technical barriers to ensure successful deployment and high adoption rates of Gemini Enterprise. You will have access to Google’s technology to monitor application performance, debug and troubleshoot complex agent behaviors, and address customer and partner needs. In this role, you will lead the end-to-end and timely execution of adopting Google Cloud Platform solutions to the customer.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Deliver, deploy, and implement Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to solve complex technical customer challenges.
• Act as a trusted technical advisor to Google’s most strategic customers to drive and accelerate the adoption of Gemini Enterprise.
• Provide guidance on existing product challenges, and collaborate with the engineering team to address the challenges or provide possible workarounds.
• Deliver leading practice recommendation and technical presentations adapted to different levels of key business and technical stakeholders to proactively foster Gemini Enterprise adoption and enablement.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.