Cloud AI Engineer, Technical Onboarding Center
Google · Posted Oct 10
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 business with technology built in the cloud, delivering enterprise-grade solutions for security, reliability and scalability across more than 200 countries and territories. This role sits within the Agentic AI and Gemini Enterprise product domain, helping strategic customers adopt Google Cloud's AI suite. As a Cloud AI Engineer, you will design and implement production-ready application architectures, lead end-to-end Gemini Enterprise implementations, advise C-suite executives on AI strategy, and translate architectural challenges into product roadmap requirements.
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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