Join Google Cloud as an AI Outcome Customer Engineer, Forward Deployed Engineering (FDE). In this pivotal role, you'll act as an enterprise architect, technical debugger, and engineering liaison, bridging the gap between pre-sales planning and post-sales execution. You'll ensure solutions are shaped for adoption, rapid activation, and successful delivery, charting the course for technical design, systemic debugging, and product integration. Your expertise will be crucial in architecting how advanced technical solutions integrate into customer IT ecosystems and driving the technical delivery strategy from inception to completion.

Google Cloud empowers organizations globally to digitally transform. We provide enterprise-grade solutions leveraging Google's cutting-edge technology and tools, enabling developers to build more sustainably. Trusted by customers in over 200 countries, Google Cloud is the partner of choice for enabling growth and solving critical business challenges.

Collaborate with Account teams and Customer Engineers (CEs) during technical evaluations to assess project feasibility and shape proposals for long-term adoption.

Lead the upfront technical design for enterprise-grade AI solutions, ensuring secure integration into customer data pipelines, identity providers, and compliance boundaries.

Diagnose and resolve complex customer implementation issues by diving into code-level context, identifying product bugs, and testing workarounds.

Serve as the primary liaison to Product and Engineering teams, troubleshooting deployment blockers and translating field feedback into actionable feature requests.

Steer implementation strategy through technical authority and architectural foresight, owning the technical delivery reality alongside customer-facing teams.

A Bachelor’s degree or equivalent practical experience is required.

You should possess 7 years of experience in troubleshooting technical issues for partners or customers, and in leading technical delivery strategies.

Demonstrated experience in debugging systems and interfacing with product/engineering organizations is essential.

Proficiency in reading or debugging code in a general-purpose language like Java, Python, or JavaScript is necessary.

Experience with enterprise integrations (e.g., APIs, ECMs, identity), cloud infrastructure, or AI/ML model deployments is required, alongside experience in system design or orchestration frameworks.