Cloud AI Engineer, Technical Onboarding Center
Google · Bangalore
Collected role description
Role overview
Cloud AI Engineer, Technical Onboarding Center at Google
Required qualifications
- Minimum qualification: Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.; 6 years of experience in software engineering, enterprise cloud architecture, or technical consulting; 3 years of experience in advanced AI/ML architecture, deploying generative AI applications, intelligent agents, or LLM-powered solutions globally.; Experience in Python including implementation and deployment of tiered microservices applications.; Experience deploying production-grade cloud infrastructure or architecting and building cloud-based data solutions (e.g., enterprise data warehouses, data lakes, data pipelines, and associated technologies).
Preferred qualifications and skills
- Preferred qualification: Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.; Experience pioneering multimodal AI solutions (text, image, video, and voice) to solve novel, previously unsolved enterprise workflow challenges.; Experience with AI security, Large Language Model (LLM) governance, enterprise guardrails, and global compliance requirements (e.g., data privacy regulations, data sovereignty).; Ability to architect highly resilient, globally distributed Retrieval-Augmented Generation (RAG) systems and securely connecting LLMs with disparate legacy enterprise databases.; Recognized industry thought leadership (e.g., patents, published research, keynotes) in Generative AI, agentic workflows, or large-scale cloud data infrastructure.
Employment details
- Location: Bengaluru [Karnataka] [India]
Application details
- 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 .
About the employer
- Google is proud to be an equal opportunity and affirmative action employer.
- 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.
- Please do not forward resumes to our jobs alias, Google employees, or any other organization location.
Additional role details
- 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 .
- To all recruitment agencies: Google does not accept agency resumes.
- 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.; 6 years of experience in software engineering, enterprise cloud architecture, or technical consulting; 3 years of experience in advanced AI/ML architecture, deploying generative AI applications, intelligent agents, or LLM-powered solutions globally.; Experience in Python including implementation and deployment of tiered microservices applications.; Experience deploying production-grade cloud infrastructure or architecting and building cloud-based data solutions (e.g., enterprise data warehouses, data lakes, data pipelines, and associated technologies).
Collected preferred qualification
Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.; Experience pioneering multimodal AI solutions (text, image, video, and voice) to solve novel, previously unsolved enterprise workflow challenges.; Experience with AI security, Large Language Model (LLM) governance, enterprise guardrails, and global compliance requirements (e.g., data privacy regulations, data sovereignty).; Ability to architect highly resilient, globally distributed Retrieval-Augmented Generation (RAG) systems and securely connecting LLMs with disparate legacy enterprise databases.; Recognized industry thought leadership (e.g., patents, published research, keynotes) in Generative AI, agentic workflows, or large-scale cloud data infrastructure.
Collected experience requirement
6 years of experience in software engineering, enterprise cloud architecture, or technical consulting