Cloud AI Engineer, Technical Onboarding Center, Google Cloud

The Google Cloud team helps organizations seamlessly make the switch to Google products and supports them along the way. You address the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

As a Cloud AI Engineer, you will operate at the pinnacle of technical leadership, ensuring strategic global customers have a transformative experience adopting Gemini Enterprise and the broader Google Cloud Agentic AI suite. You will design, govern, and oversee the implementation of highly resilient, production-ready application architectures. You will partner with executive stakeholders to identify monumental opportunities for enterprise-wide workflow transformation using autonomous agents. With unparalleled access to Google’s technology, you will handle the most complex performance and behavioral agent challenges, ultimately leading the end-to-end execution of global Google Cloud digital transformations.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities:

• Lead and oversee the global delivery and implementation of Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to solve highly complex, enterprise-scale technical challenges.
• Serve as the trusted technical advisor to C-suite executives at Google’s most strategic global accounts, shaping their overarching AI strategy and accelerating the adoption of Gemini Enterprise.
• Influence the core product roadmap by translating complex architectural challenges into actionable requirements for Google's engineering teams.
• Deliver leading practice recommendations and high-stakes technical presentations to executive boards and key business stakeholders to secure massive-scale technical wins.
• Act as a thought leader and mentor across the Google Cloud organization, elevating the technical acumen of engineers and shaping best practices for agentic AI architectures.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience in cloud architecture and consulting.
• 3 years of experience in AI/ML architecture, deploying GenAI applications, AI Agents and LLM-powered solutions.
• Experience in either system design or reading code (Python).

Preferred qualifications:

• Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience pioneering multimodal AI solutions (text, image, video, and voice) to solve novel, previously unsolved enterprise workflow challenges.
• Track record of acting as the technical lead or architect on large-scale, cloud or data transformations.
• Understanding and applied experience with AI security, LLM governance, enterprise guardrails, and global compliance requirements (e.g., data privacy regulations, data sovereignty).