Join the Google Cloud Platform team and empower businesses with cutting-edge cloud technology. This role focuses on helping strategic customers seamlessly adopt Gemini Enterprise and the broader Google Cloud Agentic AI suite. You'll be instrumental in designing and implementing robust application architectures that leverage Gemini Enterprise and core Google AI products.

Your expertise will guide customers in transforming their workflows with autonomous agents, proactively removing technical obstacles to ensure successful deployment and high adoption rates. You'll have access to Google’s advanced technology for monitoring application performance, troubleshooting complex agent behaviors, and directly addressing customer and partner needs. This position requires leading the end-to-end, timely execution of Google Cloud Platform solution adoption for clients.

Google Cloud is dedicated to accelerating digital transformation for organizations worldwide. We provide enterprise-grade solutions powered by Google's technology, enabling developers to build more sustainably. Over 200 countries and territories rely on Google Cloud as their trusted partner to drive growth and solve critical business challenges.

Deliver and deploy Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to resolve complex technical customer challenges. Serve as a trusted technical advisor to Google's most strategic customers, driving and accelerating the adoption of Gemini Enterprise.

Offer guidance on existing product challenges and collaborate with the engineering team for resolutions or workarounds. Present leading practice recommendations and technical presentations tailored to various key business and technical stakeholders to proactively promote Gemini Enterprise adoption and enablement.

A Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience, is required. Proven experience in building generative AI applications, intelligent agents, or LLM-powered solutions, along with direct experience working with technical customers.

Excellent English communication skills are essential for effective client relationship management. Preferred qualifications include experience with agent development frameworks like LangChain or LlamaIndex, implementing RAG architectures, securely connecting LLMs with external tools and databases, and deploying multimodal AI solutions.

Experience with enterprise-grade generative AI platforms, particularly Gemini Enterprise, including security, governance, and compliance, is highly valued. A strong understanding of cloud computing fundamentals, such as serverless environments, virtualization, and secure cloud networking, is also beneficial.