Cloud AI Engineer (English)
Google · Posted Nov 4
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
The Google Cloud Platform team helps customers transform and build what's next for their business with secure, reliable, and scalable cloud technology, running the full stack from infrastructure to applications and devices. The role sits within Google Cloud's Agentic AI and Gemini Enterprise area, where customers use generative AI, agents, and LLM-powered solutions. As a Cloud AI Engineer, the hire will design and implement production-ready application architectures, advise strategic customers, and drive adoption of Gemini Enterprise and the broader Google Cloud Agentic AI suite.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
Preferred 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 and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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