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Cloud AI Engineer, Technical Onboarding Center

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Hybrid (Hyderabad / Bengaluru / Gurugram)Full-timePosted 1mo ago

About the role

Cloud AI Engineer leading adoption of Gemini Enterprise and related Google AI products for strategic customers, designing robust production architectures, and driving end-to-end deployment and enablement of Gemini Enterprise within Google Cloud’s Agentic AI suite.

Responsibilities

  • Lead the delivery, deployment, and implementation of Gemini Enterprise solutions, utilizing ADKs to solve complex, enterprise-scale technical customer challenges.
  • Act as a trusted technical advisor to Google’s most strategic customers to shape their AI strategy, drive, and accelerate the adoption of Gemini Enterprise.
  • Provide architectural guidance on existing product challenges, collaborate closely with the engineering team to address gaps, and architect scalable workarounds for edge cases.
  • Deliver leading practice recommendations and technical presentations adapted to different levels of key business and technical stakeholders (including C-suite executives) to proactively foster Gemini Enterprise adoption and enablement.

Qualifications

  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
  • 3 years of experience in software engineering, cloud architecture, or technical consulting, infrastructure with 2 years of experience in building and deploying GenAI applications, intelligent agents, or LLM-powered solutions to production.
  • Experience building and orchestrating agents using ADKs, LangChain, LlamaIndex, AutoGen and in designing modern application architectures, including API design, microservices, and integrating AI models into existing enterprise software systems.
  • Experience with Python.

Skills

Required:Bachelor's degree in CS or related field3 years of software engineering/cloud/technical consultingADKs, LangChain, LlamaIndex, AutoGenPython
Last updated Oct 23, 2026. Interested? Apply on the company site.

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