Cloud AI Engineer, Technical Onboarding Center
Google · Posted Oct 5
Search engine, cloud computing, software, hardware, and artificial intelligence services
Get a personal compatibility score
Add a resume for personal matches
About the role
The Google Cloud Platform team helps customers transform and build what's next for their business with enterprise-grade cloud technology developed for security, reliability, and scalability, running the full stack from infrastructure to applications and hardware. This role sits within the Technical Onboarding Center and focuses on helping strategic customers adopt Gemini Enterprise alongside the broader Google Cloud Agentic AI suite. The engineer will design and implement production-ready application architectures, remove technical barriers to deployment, monitor and debug complex agent behaviors, and serve as a trusted technical advisor driving end-to-end adoption of Google Cloud Platform solutions.
What you will do
- 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.
Skills used in this role
Preferred qualifications
- Bachelor’s degree, Master’s 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.
- Deep understanding and applied experience with AI security, Large Language Model (LLM) governance, enterprise guardrails, and global compliance requirements (e.g., data privacy regulations, data sovereignty).
- Excellence in architecting highly resilient, globally distributed Retrieval-Augmented Generation (RAG) systems and securely connecting LLMs with disparate legacy enterprise databases.
- Recognized industry thought leadership (e.g., patents, published research, keynotes) in Generative AI, agentic workflows, or large-scale cloud data infrastructure.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
Recent coverage
Search Engine Journal
Google Rolls Out September 2026 Spam Update Globally2026-09-24
Android Headlines
Everything announced at Google's 2026 Made by Google event2026-08-24
TechRepublic
Google's Biggest Announcements of 2026: Gemini, Android 17, and More2026-08-03
Google Blog
At Google I/O 2026, we unveiled a vision for this era of the agentic web2026-05-19