AI Customer Engineer, Google Cloud
Google · Posted Nov 2
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
The AI GTM Information Technology Enabled Services (ITES) Google Cloud team acts as trusted AI advisors, providing AI expertise, thought leadership, and industry best practices to help customers transform their businesses. The role sits within Google Cloud, whose enterprise-grade solutions and tools are used by customers in more than 200 countries and territories. The AI Customer Engineer drives technical solutions for complex AI workloads, advises customers from technical evaluation through ramp, and feeds customer learnings back into reusable assets and product feature requests.
What you will do
- Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp.
- Combine business strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
- Provide technical consultation to customers, acting as a technical advisor and building customer relationships.
- Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-to-Market team. Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.
- Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.
Skills used in this role
What the employer is looking for
- Bachelor's degree or equivalent practical experience.
- 6 years of experience working within tech startups or digital-native organizations.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications
- Experience in developing financial services or telecommunication agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).
- Experience with cloud technologies including SaaS applications, iPaaS, business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking.
- Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) Gateways.
- Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.
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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