Join Google Cloud as an AI Customer Engineer and empower leading companies to harness the power of cloud computing. This role is pivotal in making customer operations more productive, mobile, and collaborative by understanding their needs and delivering impactful solutions.

You will serve as a trusted AI advisor, driving transformative customer experiences and shaping the future of their businesses. By providing AI expertise, thought leadership, and industry best practices, you'll revolutionize customer outcomes and accelerate digital transformation.

Google Cloud enables organizations worldwide to digitally transform. We offer enterprise-grade solutions powered by Google's advanced technology, supporting developers in building more sustainably. Businesses across over 200 countries rely on Google Cloud as a trusted partner for growth and problem-solving.

Spearhead technical solutions for complex AI workloads, ensuring swift and successful customer adoption from initial evaluation to full implementation.

Integrate business strategies with hands-on development and prototyping to craft bespoke solutions that resonate with customer domain experts.

Act as a technical advisor, providing expert consultation and cultivating strong customer relationships.

Contribute to reusable solutions and assets for the Go-to-Market team based on insights gained from customer engagements. Publicly advocate for Google Cloud at customer sites, conferences, and events.

Collaborate within product and engineering systems to document, prioritize, and resolve customer feature requests and technical issues.

A Bachelor's degree or equivalent practical experience is essential.

Possess at least 6 years of experience within tech startups or digital-native organizations.

Demonstrated experience engaging with and presenting to technical stakeholders and executive leaders.

Experience developing financial services or telecommunication agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK) is preferred.

Familiarity with cloud technologies including SaaS applications, iPaaS, business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking is advantageous.

Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) for connecting AI agents with business systems and API Gateways is beneficial.

Understanding of observability constructs like distributed tracing, logging, and audit logging for AI applications is a plus.