The Job

Cloud AI Engineer (English)

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Cloud Engineering

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In short

Google Cloud is seeking a Cloud AI Engineer to help strategic customers adopt Gemini Enterprise and the broader Google AI suite. You will design and implement production-ready architectures, remove technical barriers, and ensure successful deployment of Gemini Enterprise.

Responsibilities

  • Deliver, deploy, and implement Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to solve complex technical customer challenges.
  • Act as a trusted technical advisor to Google’s most strategic customers to drive and accelerate the adoption of Gemini Enterprise.
  • Provide guidance on existing product challenges, and collaborate with the engineering team to address the challenges or provide possible workarounds.
  • Deliver leading practice recommendation and technical presentations adapted to different levels of key business and technical stakeholders to proactively foster Gemini Enterprise adoption and enablement.

Requirements

  • Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
  • Experience building generative AI applications, intelligent agents, or LLM-powered solutions, and working directly with technical customers.
  • Ability to communicate in English fluently to support client relationship management.

Desired Qualifications

  • Experience building and orchestrating agents using Agent Development Kits (ADKs) or popular frameworks (e.g., LangChain, LlamaIndex, AutoGen).
  • Experience implementing Retrieval-Augmented Generation (RAG) architectures and securely connecting LLMs with external productivity tools (e.g., Google Workspace) and internal databases.
  • Experience in leveraging LLMs to deploy multimodal solutions encompassing text, image, video, and voice.
  • Experience deploying, configuring, and managing enterprise-grade generative AI platforms, particularly Gemini Enterprise, with an understanding of security, governance, and compliance requirements.
  • Knowledge of cloud computing, including serverless execution environments, virtualization, hosted services, multi-tenant cloud infrastructures, and secure cloud networking.

Benefits

  • Access to Google’s technology to monitor application performance, debug and troubleshoot complex agent behaviors, and address customer and partner needs.
  • Google is proud to be an equal opportunity and affirmative action employer.
#AI#Machine Learning#Cloud
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Company

Google

Job Posted

1 week ago

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Mid-Senior

Locations

Hyderabad, India

Bengaluru, India

Pune, India

Gurgaon, India

Qualification

Bachelor

Applicants

Be an early applicant