Cloud AI Engineer, Technical Onboarding Center, Google Cloud
Google · Posted Oct 14
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
The Google Cloud Platform team helps customers transform and build their businesses with cloud technology, delivering enterprise-grade solutions across infrastructure, applications, devices, and hardware to customers in more than 200 countries and territories. As a Cloud AI Engineer in the Technical Onboarding Center, you will lead adoption of Gemini Enterprise and the broader Google Cloud Agentic AI suite, designing and implementing production-ready application architectures for strategic customers. The role involves advising customer executives on AI strategy, removing technical barriers to deployment, and using Google's technology to monitor, debug, and troubleshoot complex agent behaviors.
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
- 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.
- Experience with AI security, Large Language Model (LLM) governance, enterprise guardrails, and global compliance requirements (e.g., data privacy regulations, data sovereignty).
- Ability to architect 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
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