Cloud AI Engineer, Technical Onboarding Center
Google · Hyderabad
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Collected role description
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy . 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 . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form . 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.
Collected minimum qualification
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.
Collected preferred qualification
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).
Collected experience requirement
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.