Join Google Cloud as an AI Customer Engineer and play a pivotal role in empowering leading companies to harness the transformative power of cloud computing. You'll be instrumental in making their operations more productive, mobile, and collaborative by delivering tailored solutions. This role involves collaborating with sales teams to resolve complex technical challenges for clients and liaising with product and engineering teams to stay ahead of industry trends and influence product enhancements.

The AI GTM team is dedicated to delivering cutting-edge AI expertise and thought leadership, revolutionizing customer outcomes and shaping the future of their businesses. Google Cloud is the trusted partner for organizations worldwide, enabling digital transformation through enterprise-grade solutions and sustainable development tools.

Drive the technical strategy for intricate workloads within AI product domains, ensuring swift and successful adoption throughout the customer lifecycle. Develop customized, functional solutions by merging business objectives with hands-on development and prototyping, securing buy-in from customer domain experts.

Provide expert technical consultation, acting as a trusted advisor and cultivating strong customer relationships. Translate insights from customer engagements into reusable solutions and assets for the Go-to-Market team. Represent Google Cloud publicly by traveling to customer sites, conferences, and events.

Collaborate within product and engineering management systems to meticulously document, prioritize, and drive the resolution of customer-reported feature requests and issues.

We seek candidates with a Bachelor's degree or equivalent practical experience and at least 6 years of experience working with tech startups or digital-native organizations. Proven ability to engage with and present to both technical stakeholders and executive leadership is essential.

Preferred qualifications include experience developing financial services or telecommunication agents using frameworks like LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK). Familiarity with cloud technologies such as SaaS, iPaaS, business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking is highly valued.

Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) for connecting AI agents with business systems and API Gateways is beneficial. A strong understanding of observability constructs, including distributed tracing, logging, and audit logging for AI applications, is also desirable.