Cloud Artificial Intelligence Engineer, Google

Cloud Artificial Intelligence Engineer, Google
Written By:
Srinivas
Reviewed By:
Atchutanna Subodh
Published on

The Cloud AI Engineer at Google Hyderabad/Bengaluru designs and implements GenAI and Agentic AI projects, builds data pipelines, leverages Large Language Models, collaborates across teams, and delivers workshops to empower clients in maximizing Google Cloud’s potential.

Location: Hyderabad/Bengaluru India 

Apply: Click Here

Primary Responsibilities

As a Cloud AI Engineer candidate, the responsibilities will include

  • Deliver effective big data and GenAI solutions and solve technical customer tests.

  • Act as a trusted technical advisor to Google’s customers.

  • Identify new product features and feature gaps, provide guidance on existing product tests, 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.

Desired Qualifications

  • Proven experience with Large Language Models, Data Pipeline, and Data Analytics/Visualizations. 

  • Experience with Data ETL concepts and procedures. 

  • Familiarity applying LLMs to develop multimodal solutions across Text, Image, Video and Voice. 

  • General knowledge of data warehouse principles, technical aspects of data warehouse architectures, the component parts of the infrastructure, ETL/ELT, analytic/reporting tools and environments (i.e., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). 

  • General knowledge of cloud computing, virtualization, hosted services and multi-tenant cloud infrastructures, storage systems, content delivery networks.

About Google

Google is a worldwide technology leader assisting the world in the transition to a digital world with cloud computing, AI, and enterprise-grade technology solutions. GenAI, analytics, and scalable infrastructure in Google Cloud are empowering organizations around the world to address challenges with sustainable solutions. Google champions an inclusive and collaborative culture where they inspire innovative ways while their employees are encouraged to learn to affect the future of technology.

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