Join Google Cloud's innovative team to empower businesses with cutting-edge AI solutions. This role focuses on customer success, guiding them through the adoption of Gemini Enterprise and the broader Google Cloud Agentic AI suite. You'll architect and implement robust, production-ready applications, leveraging Google's advanced AI technologies to transform customer workflows and overcome technical challenges.

Google Cloud is dedicated to accelerating digital transformation for organizations worldwide. We provide enterprise-grade solutions built on Google's technology, enabling developers to build more sustainably and helping customers in over 200 countries solve their most critical business problems.

Lead the end-to-end implementation and deployment of Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to address complex, enterprise-scale customer challenges.

Serve as a trusted technical advisor, shaping AI strategies and accelerating Gemini Enterprise adoption for Google's most strategic customers.

Provide architectural guidance, collaborate with engineering teams to resolve product gaps, and design scalable workarounds for complex scenarios.

Deliver best practice recommendations and tailored technical presentations to diverse business and technical stakeholders, including C-suite executives, to drive Gemini Enterprise enablement.

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

Possess at least 3 years of experience in software engineering, cloud architecture, or technical consulting, with a minimum of 2 years dedicated to building and deploying GenAI applications, intelligent agents, or LLM-powered solutions to production.

Demonstrated experience building and orchestrating agents using ADKs, LangChain, LlamaIndex, and AutoGen is essential. Proficiency in designing modern application architectures, including API design, microservices, and integrating AI models into existing enterprise software systems, is also a must.

Strong experience with Python is a core requirement for this role.