Advance the adoption of cutting-edge AI technologies within enterprise clients as an AI Customer Engineer for Google Cloud. This role focuses on being a trusted AI advisor, collaborating across Google to deliver groundbreaking customer experiences and shape the future of businesses.

Google Cloud empowers organizations through digital transformation, offering robust solutions that harness Google's advanced technology. We support developers in building more sustainably and are a trusted partner for companies worldwide, helping them achieve growth and solve their most complex challenges.

Join a dynamic team dedicated to revolutionizing customer outcomes through AI expertise, thought leadership, and industry best practices. Your work will directly impact how leading companies leverage the power of cloud computing globally.

Spearhead the technical solutions for intricate AI workloads, ensuring swift and successful client adoption from initial technical evaluation to full implementation.

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

Provide expert technical consultation, acting as a trusted advisor and cultivating strong customer relationships.

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

Collaborate with product and engineering teams to meticulously document, prioritize, and resolve customer-reported feature requests and issues.

A Bachelor's degree or equivalent practical experience is required, alongside a minimum of 6 years' experience in tech startups or digital-native organizations.

Proven ability to engage with and present complex technical information to both technical stakeholders and executive leadership is essential.

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

Familiarity with cloud technologies like SaaS applications, iPaaS, business automation, cloud infrastructure, Agentic AI, and cloud networking is expected.

Understanding of integration patterns using OpenAPI and Model Context Protocol (MCP) for connecting AI agents with business systems and API Gateways is a key asset.

Knowledge of observability constructs, including distributed tracing, logging, and audit logging for AI applications, is also desirable.