AI Customer Engineer, Google Cloud
Google · Posted Nov 8
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 what's next for their business with cloud technology developed for security, reliability, and scalability. The Go-To-Market team focuses on AI solutions including Gemini models and Vertex AI, partnering with technical sales to accelerate customer adoption. This role works with customers on AI-centered workloads, building prototypes, proofs-of-concept, and demos while feeding customer requirements back to product teams.
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 deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
- Work within Product and Engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues.
- Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.
Skills used in this role
What the employer is looking for
- Bachelor's degree in a technical field or equivalent practical experience.
- 6 years of experience with cloud native architecture in a customer-facing role.
- Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like RAG, Text-to-SQL, and semantic search.
- Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.
Preferred qualifications
- Experience in developing 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.
- Experience engaging with, or presenting to, technical stakeholders or executive leaders.
- 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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