Join our dynamic Google Cloud Platform team and help customers innovate with cutting-edge cloud technology. You will be instrumental in guiding strategic clients through the adoption of Gemini Enterprise and the broader Google Cloud Agentic AI ecosystem.

This role offers the opportunity to design and implement sophisticated, production-ready application architectures. You will collaborate closely with clients to uncover avenues for workflow transformation using autonomous agents, removing technical obstacles to ensure seamless deployment and high adoption rates of Gemini Enterprise. Leverage Google's advanced technology to monitor application performance, troubleshoot complex agent behaviors, and address customer and partner requirements.

Google Cloud empowers organizations to digitally transform their businesses and industries. We deliver enterprise-grade solutions powered by Google's technology, alongside tools designed for sustainable development. Businesses globally rely on Google Cloud to foster growth and overcome critical challenges.

Deliver and implement Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to resolve complex technical customer challenges.

Serve as a trusted technical advisor to Google's key clients, driving and accelerating the adoption of Gemini Enterprise.

Provide expert guidance on existing product challenges, collaborating with the engineering team to find solutions or workarounds.

Present best practices and technical insights tailored for various business and technical stakeholders to proactively promote Gemini Enterprise adoption and enablement.

Possess a Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

Demonstrate experience in building generative AI applications, intelligent agents, or LLM-powered solutions, with a proven track record of working directly with technical customers.

Exhibit fluent English communication skills essential for effective client relationship management.

Experience with agent development frameworks like LangChain, LlamaIndex, or AutoGen is highly advantageous.

Familiarity with Retrieval-Augmented Generation (RAG) architectures and securely integrating LLMs with external tools and internal databases is preferred.

Experience deploying and managing enterprise-grade generative AI platforms, such as Gemini Enterprise, including security, governance, and compliance considerations, is a plus.

A solid understanding of cloud computing concepts, including serverless environments, virtualization, and secure cloud networking, is beneficial.