Join the Google Cloud Platform team to empower customers with cutting-edge cloud technology and shape the future of businesses. This role offers a dynamic environment where you'll contribute to the growth of cloud solutions that drive innovation and digital transformation for organizations of all sizes.

As a Cloud AI Engineer, you will be instrumental in guiding strategic clients through their adoption of Gemini Enterprise and the wider Google Cloud Agentic AI suite. Your expertise will be crucial in designing and implementing robust, production-ready application architectures that address unique customer needs, leveraging the power of Gemini Enterprise and core Google AI products.

Google Cloud is dedicated to accelerating digital transformation across industries, providing enterprise-grade solutions powered by Google's advanced technology. We partner with customers in over 200 countries, enabling growth and solving critical business challenges with our trusted cloud services.

Lead the successful implementation and delivery of Gemini Enterprise solutions globally, utilizing Agent Development Kits (ADKs) to tackle complex, enterprise-scale technical challenges.

Serve as a key technical advisor to C-suite executives at top-tier global accounts, influencing their AI strategies and expediting the adoption of Gemini Enterprise.

Contribute to the evolution of the core product roadmap by articulating intricate architectural challenges into actionable requirements for Google's engineering teams.

Present best practices and high-impact technical strategies to executive boards and stakeholders, securing significant technical wins.

Act as a thought leader and mentor across Google Cloud, enhancing the technical capabilities of engineers and establishing best practices for agentic AI architectures.

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

Demonstrate 6 years of experience in software engineering, enterprise cloud architecture, or technical consulting.

Showcase 3 years of experience in advanced AI/ML architecture, with a track record of deploying generative AI applications, intelligent agents, or LLM-powered solutions on a global scale.

Proficiency in Python, including the implementation and deployment of tiered microservices applications.

Experience in deploying production-grade cloud infrastructure or architecting and building scalable cloud-based data solutions such as enterprise data warehouses, data lakes, and data pipelines.