Cloud AI Engineer (English)

In short

Google Cloud is looking for a Cloud AI Engineer with a Bachelor's degree and experience in building generative AI applications and LLM-powered solutions. This role involves working directly with technical customers to design and implement robust, production-ready application architectures using Gemini Enterprise and core Google AI products.

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.

#Cloud#AI#Generative AI#LLM#Google Cloud Platform

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