Cloud AI Engineer, Technical Onboarding Center

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

Job summary

Google Cloud Platform seeks a mid-level Cloud AI Engineer to lead end-to-end deployment of Gemini Enterprise solutions and AI-powered agents for enterprise customers.

You will design scalable architectures, integrate AI models, and collaborate with customers and engineering teams to remove deployment barriers and drive adoption.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 3 years of software engineering experience with cloud or AI focus; 2 years building GenAI/LLM-powered production solutions.
• Experience with Python and modern AI tooling.

Responsibilities

• Lead delivery and deployment of Gemini Enterprise solutions and AI agents for enterprise customers.
• Act as trusted technical advisor to shape AI strategy and adoption.
• Provide architectural guidance and scalable workarounds for edge cases.
• Deliver technical presentations to stakeholders to enable Gemini Enterprise adoption.

Skills

Python

ADKs

LangChain

LlamaIndex

AutoGen

API design

Microservices

Cloud architecture

Education

Bachelor's degree in Computer Science or related field

Tools

ADKs

LangChain

LlamaIndex

AutoGen

Job description

Cloud AI Engineer, Technical Onboarding Center

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

• 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; Gurugram, Haryana, India; Pune, Maharashtra, India.
• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 3 years of experience in software engineering, cloud architecture, or technical consulting, infrastructure with 2 years of experience in building and deploying GenAI applications, intelligent agents, or LLM-powered solutions to production.
• Experience building and orchestrating agents using ADKs, LangChain, LlamaIndex, AutoGen and in designing modern application architectures, including API design, microservices, and integrating AI models into existing enterprise software systems.
• Experience with Python.

Preferred qualifications:

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Google Cloud Professional certifications.
• Experience implementing scalable RAG architectures and securely connecting LLMs with external productivity tools (e.g., Google Workspace) and complex enterprise databases in high-traffic environments.
• Experience leading technical project deployments, working with engineering teams, or acting as the technical lead on large-scale cloud transformations.
• Experience deploying, configuring, and managing enterprise-grade generative AI platforms (particularly Gemini Enterprise), with an understanding of AI security, Large Language Models (LLM) governance, guardrails, and enterprise compliance requirements (e.g., data privacy regulations).

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 will 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 will 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 cutting-edge 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

• Lead the delivery, deployment, and implementation of Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to solve complex, enterprise-scale technical customer challenges.
• Act as a trusted technical advisor to Google’s most strategic customers to shape their AI strategy, drive, and accelerate the adoption of Gemini Enterprise.
• Provide architectural guidance on existing product challenges, collaborate closely with the engineering team to address gaps, and architect scalable workarounds for edge cases.
• Deliver leading practice recommendations and technical presentations adapted to different levels of key business and technical stakeholders (including C-suite executives) 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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.