Cloud AI Engineer (English)

• 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.
  

Minimum qualifications:

• 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.

• 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.