Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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.
