Join Google Cloud and empower organizations to transition seamlessly to Google's innovative solutions. You'll be instrumental in resolving complex technical challenges, showcasing the power of our products to enhance business productivity, collaboration, and innovation. Cultivating strong customer relationships is key to driving growth within Google Cloud and enabling global companies to achieve their innovation goals.

As a Cloud AI Engineer, you will operate at the forefront of technical leadership. Your mission will be to ensure global customers have an exceptional experience adopting Gemini Enterprise and the comprehensive Google Cloud Agentic AI suite. You will architect, govern, and manage the implementation of highly robust, production-ready application frameworks. Collaborating with executive stakeholders, you will pinpoint significant opportunities for transforming enterprise-wide workflows through autonomous agents. Leveraging Google's advanced technology, you will tackle the most intricate performance and behavioral agent challenges, ultimately steering the end-to-end execution of worldwide Google Cloud digital transformations.

Google Cloud empowers every organization to accelerate its digital transformation journey across industries. We deliver enterprise-grade solutions powered by Google's latest technology and tools designed for sustainable development. Companies in over 200 countries and territories rely on Google Cloud as their trusted partner for growth and to solve their most pressing business issues.

Lead and oversee the global delivery and implementation of Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to address highly complex, enterprise-scale technical challenges. Serve as the go-to technical advisor for C-suite executives within Google's most strategic global accounts, influencing their AI strategy and expediting Gemini Enterprise adoption. Contribute to shaping the core product roadmap by translating intricate architectural challenges into actionable requirements for Google's engineering teams. Present best practice recommendations and high-impact technical presentations to executive boards and key stakeholders to secure large-scale technical successes. Act as a thought leader and mentor throughout the Google Cloud organization, enhancing the technical expertise of engineers and establishing best practices for agentic AI architectures.

A Bachelor's degree or equivalent practical experience is required.

Possess 5 years of experience in cloud architecture and consulting, alongside 3 years focused on AI/ML architecture, specifically deploying GenAI applications, AI Agents, and LLM-powered solutions. Demonstrate experience in either system design or code review (Python).

Preferred qualifications include a Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience pioneering multimodal AI solutions (text, image, video, voice) to resolve novel, previously unaddressed enterprise workflow issues is highly valued. Show a proven track record as a technical lead or architect on large-scale cloud or data transformation projects. Possess a strong understanding and applied experience with AI security, LLM governance, enterprise guardrails, and global compliance requirements, such as data privacy regulations and data sovereignty.