Google Cloud AI Engineer Job : Google is hiring for a google cloud ai engineer position supporting customers adopting Gemini Enterprise and Google Cloud AI products. The listing does not state the number of vacancies or an application deadline. Candidates with experience building generative AI solutions and working with technical customers may find this opportunity relevant; the listed working-location choices are Bengaluru, Gurugram, Hyderabad and Pune.
The google cloud ai engineer jobs in india listing is for a customer-facing technical role, not a general software engineering position. Applicants should review the official Google Careers page for current application instructions and role details.
Google Cloud AI Engineer Job: Key Details
| Particular | Details |
|---|---|
| Organization | |
| Post Name | Cloud AI Engineer (English) |
| Job Location | Bengaluru, Karnataka; Gurugram, Haryana; Hyderabad, Telangana; or Pune, Maharashtra. Applicants can share their preferred location. |
| Application Mode | Online through the Google Careers job listing |
Eligibility for the Cloud AI Engineer Position
Educational Qualification and Experience
Candidates need a bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience. The minimum qualifications also include experience building generative AI applications, intelligent agents or LLM-powered solutions, along with direct work with technical customers.
Fluent English communication is required to support client relationship management. The listing does not specify an age limit or age-relaxation criteria.
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Preferred Technical Experience
Google also identifies the following as preferred qualifications:
- Building and coordinating agents with Agent Development Kits (ADKs) or frameworks such as LangChain, LlamaIndex or AutoGen.
- Implementing Retrieval-Augmented Generation (RAG) and securely connecting large language models with productivity tools or internal databases.
- Using large language models for multimodal applications involving text, images, video and voice.
- Deploying and managing enterprise generative AI platforms, particularly Gemini Enterprise, with attention to security, governance and compliance.
- Understanding cloud computing concepts, including serverless environments, virtualization, hosted services, multi-tenant infrastructure and secure cloud networking.
What the Google Cloud AI Engineer Role Involves
The google cloud ai engineer role focuses on helping strategic customers adopt Gemini Enterprise and other products in Google Cloud’s Agentic AI suite. The engineer designs and implements production-ready application architectures, works through technical obstacles and helps customers use autonomous agents to improve workflows.
The work also involves advising customers, identifying product challenges, coordinating with engineering teams on solutions or workarounds, and presenting technical recommendations to business and technical stakeholders. The engineer may use Google tools to monitor application performance and troubleshoot complex agent behaviour.
Salary and Application Fee
The job listing does not state the salary or pay scale, and it does not provide application-fee information.
Selection Process
The listing says that in most instances the hiring process requires in-person interviews. It does not describe the interview stages or any other selection steps, so candidates should follow the details provided by Google during the application process.
How to Apply
If you are looking for how to apply for the google cloud ai engineer job, use the Google Careers listing linked below. The source provides the job page but does not describe each application-form step.
- Open the official Google Careers job listing.
- Review the qualifications, responsibilities and location options carefully.
- Follow the application instructions shown on the listing and provide the requested information.
- Keep a record of your submission and check the listing or your application account for updates.
Applicants can indicate a preferred working location from Bengaluru, Gurugram, Hyderabad or Pune. The listing notes that in-person interviews are required in most instances.
Practical Checks Before Applying
- Make sure your application clearly explains your hands-on work with generative AI, agents or LLM-powered products and your experience supporting technical customers.
- Review the listed locations and be ready to state your preference accurately.
- Check the official job page for current application instructions and any updates before submitting your details.
- Prepare to discuss how you design, deploy and troubleshoot customer-facing AI solutions, based on your actual experience.
Official Job Listing
Official Google Careers listing: Cloud AI Engineer (English) – Google Careers
Frequently Asked Questions
How many vacancies are available?
The Google Careers listing does not state the number of vacancies.
What is the last date to apply?
No application deadline is provided in the listing. Check the official job page for current information.
What qualifications are required?
A bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience, is required. Candidates also need relevant generative AI or LLM solution-building experience, direct technical-customer experience and fluent English.
What is the age limit?
The listing does not specify an age limit.
What salary does Google offer for this position?
The listing does not provide salary or pay-scale details.
What is the selection process?
The listing says that in most instances the hiring process requires in-person interviews. It does not give further selection-stage details.
Where can I apply?
Applications are handled through the Google Careers job listing.
Which locations can applicants choose?
The listed preferences are Bengaluru, Gurugram, Hyderabad and Pune. Applicants can share their preferred working location.