Cloud AI Engineer, Technical Onboarding Center
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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