Apply for Google Off Campus Drive 2025! Hiring Cloud AI Engineer Job in Hyderabad, Bangalore. Competitive salary, advanced AI/cloud projects, and growth opportunities. Bachelor’s in CS or related field required. Discover your future with Google Cloud.
Candidates who are interested in Google Off Campus Drive Job Openings can go through the below to get more information.
Key Job details of Cloud AI Engineer job
Company: Google
Qualifications: BE/BTech
Experience Needed: Fresher/Experienced
Location: Hyderabad, Bangalore
About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud Engineer, you’ll play a key role in ensuring that strategic customers have the best experience moving to the Google Cloud GenAI and Agentic AI suite of products. You will design and implement solutions for customer use cases, leveraging core Google products. You’ll work with customers to identify opportunities to transform their business with GenAI, and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product issues, and address customer and partner needs. In this role, you will lead the timely execution of adopting the 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
- Deliver effective big data and GenAI solutions and solve complex technical customer challenges.
- Act as a trusted technical advisor to Google’s strategic customers.
- Identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
- Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.
Minimum Qualifications:
- Bachelor’s degree in Computer Science or related technical field, or equivalent practical experience.
- Experience building data and AI solutions and working with technical customers.
- Experience designing cloud enterprise solutions and supporting customer projects to completion.
- Ability to communicate in English fluently to support client relationship management in this region.
Preferred Qualifications:
- Experience working with Large Language Models, data pipelines, and with data analytics, data visualization techniques.
- Experience with core Data ETL techniques.
- Experience in leveraging LLMs to deploy multimodal solutions encompassing Text, Image, Video and Voice.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
- Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
Apply Now for Google Cloud AI Engineer Job
How to Apply Google Off Campus Drive 2025
Click on Apply to Official Link Google Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
Get ready for questions such as:
- How do you distinguish between AI, Machine Learning, and Deep Learning? Illustrate with real-world examples in the cloud ecosystem.
- Share your hands-on experience with Google Cloud AI Platform. What was the impact of your contributions?
- Describe the end-to-end process of building, training, and deploying a machine learning model on Google Cloud Platform.
- How do you approach data pipeline design and optimize big data solutions for scalability and performance?
- What techniques do you rely on for debugging and monitoring cloud-based AI products, especially in production?
- Explain a multimodal AI solution you implemented (text, image, video, or voice) using LLMs or Google Cloud services.
- How would you educate a non-technical stakeholder about the benefits and risks of deploying GenAI solutions?
- How do you ensure model fairness, avoid bias, and manage data privacy in enterprise cloud AI deployments?
- What are your best practices for collaborating with product managers and engineers to influence the roadmap of cloud solutions?
- Can you give examples of how you have bridged the gap between technology and business outcomes for strategic clients?
