Join Google Cloud's innovative team as a Cloud AI Engineer, driving the adoption of cutting-edge AI solutions for strategic customers. You'll be instrumental in shaping the future of how businesses leverage technology by understanding customer needs and implementing advanced AI capabilities.

This role offers the opportunity to work with a rapidly growing business unit, contributing to transformative projects and experiencing the full spectrum of cloud technology. You will be a key player in empowering businesses of all sizes to connect with their customers, employees, and partners through powerful Google Cloud products.

Lead the global implementation of Gemini Enterprise and Agentic AI solutions, tackling complex, enterprise-scale technical challenges. Serve as a trusted technical advisor to C-suite executives, influencing AI strategy and accelerating product adoption.

Translate intricate architectural hurdles into actionable requirements for Google's engineering teams. Deliver high-impact technical presentations and best practice recommendations to secure significant technical wins.

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

A Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience, is essential. You'll need 6 years of experience in software engineering, enterprise cloud architecture, or technical consulting, with a strong focus on advanced AI/ML architecture and deploying generative AI applications, intelligent agents, or LLM-powered solutions.

Proficiency in Python, including the implementation and deployment of tiered microservices, is required. Additionally, experience deploying production-grade cloud infrastructure or architecting and building cloud-based data solutions like enterprise data warehouses, data lakes, and data pipelines is crucial for success in this role.