Join Google Cloud as an AI Outcome Customer Engineer, specializing in Forward Deployed Engineering (FDE). You'll act as an enterprise architect and technical debugger, bridging the gap between sales and post-sales execution. Your role is crucial in ensuring solutions are shaped for adoption, rapid activation, and successful delivery. You will lead technical design, debugging, product integration, and align strategies to effectively integrate Google's cutting-edge AI solutions into customer IT ecosystems, managing the technical delivery from conception to completion.

Google Cloud empowers organizations worldwide to digitally transform their businesses. We provide enterprise-grade solutions powered by Google's advanced technology, enabling developers to build more sustainably. Customers across over 200 countries and territories rely on Google Cloud to drive growth and solve their most significant challenges.

Collaborate with Account Teams and Customer Engineers (CEs) during technical evaluations to assess feasibility and shape proposals for long-term adoption. Lead the technical design of enterprise-grade AI solutions, ensuring seamless and secure integration into existing customer systems. Troubleshoot complex customer implementation issues by diving into code, identifying product bugs, and testing workarounds. Act as the primary liaison with Product and Engineering teams, resolving deployment blockers and translating field feedback into actionable product improvements. Drive implementation strategy with technical authority and architectural vision, owning the technical delivery alongside customer-facing teams.

A Bachelor's degree or equivalent practical experience is required, coupled with a minimum of 7 years of experience in troubleshooting technical issues for partners or customers. Proven experience in leading technical delivery strategies, debugging systems, and interfacing with product and engineering organizations is essential. Candidates should possess experience reading or debugging code in a general-purpose programming language such as Java, Python, or JavaScript. Familiarity with enterprise integrations (APIs, ECMs, identity), cloud infrastructure, or AI/ML model deployments, as well as system design or orchestration frameworks, is also necessary.