Join the Google Cloud Platform team and empower customers to build and transform their businesses in the cloud. This role offers a unique opportunity to shape the future of technology adoption for businesses of all sizes. As an AI Engineer, you will be instrumental in guiding strategic customers through their journey with Gemini Enterprise and the broader Google Cloud Agentic AI suite.

Your expertise will be crucial in designing and implementing production-ready application architectures that leverage cutting-edge Google AI products. You will collaborate closely with customers to identify and unlock new opportunities for workflow transformation using autonomous agents, proactively removing technical obstacles to ensure successful deployment and widespread adoption.

Google Cloud is dedicated to accelerating digital transformation across industries. We provide enterprise-grade solutions powered by Google's advanced technology, enabling developers to build more sustainably. Over 200 countries and territories rely on Google Cloud to foster growth and tackle their most pressing business challenges.

Spearhead the delivery, deployment, and implementation of Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to resolve complex, enterprise-scale technical customer challenges.

Serve as a trusted technical advisor to Google's most strategic customers, shaping their AI strategy and accelerating the adoption of Gemini Enterprise.

Offer architectural guidance for existing product challenges, collaborating closely with the engineering team to address gaps and architect scalable workarounds for edge cases.

Deliver best-practice recommendations and tailored technical presentations for diverse business and technical stakeholders, including C-suite executives, to proactively drive Gemini Enterprise adoption and 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 focused on building and deploying GenAI applications, intelligent agents, or LLM-powered solutions to production.

Demonstrated experience in building and orchestrating agents using ADKs, LangChain, LlamaIndex, and AutoGen. Proven ability to design modern application architectures, including API design, microservices, and integrating AI models into existing enterprise software systems.

Proficiency in Python is essential for this role.