Join the Google Cloud team as an AI Outcome Customer Engineer, a pivotal role focused on guiding customers through their digital transformation journey with Google's innovative products. You'll be instrumental in problem-solving technical challenges, showcasing how our solutions enhance productivity, collaboration, and innovation for businesses. This role involves close collaboration with cross-functional teams and direct engagement with a diverse range of global customers, significantly contributing to Google Cloud's growth and customer success.

As an AI Outcome Customer Engineer, you will act as an enterprise architect, technical debugger, and engineering liaison. Your primary responsibility is to bridge the gap between pre-sales planning and post-sales execution. By actively participating in the technical evaluation phase for key accounts, you will ensure solutions are designed for optimal adoption, rapid activation, and successful delivery. You will define the technical roadmap, manage complex builds, and architect seamless integration of Google Cloud technologies into customer environments.

Google Cloud empowers organizations worldwide to digitally transform. We provide enterprise-grade solutions powered by Google's advanced technology, enabling developers to build more sustainably. With a presence in over 200 countries, we are a trusted partner helping businesses overcome their most critical challenges and achieve growth.

Collaborate with Account teams and Customer Engineers (CEs) during technical evaluations to assess project feasibility, shape long-term adoption strategies, and validate FDE engagement requests.

Lead the technical design for enterprise-grade AI solutions, ensuring secure and seamless integration of models, agents, and connectors with existing customer data pipelines, identity providers, and compliance frameworks.

Investigate and resolve complex customer implementation issues by diving into code-level details, identifying core product bugs, and developing workarounds to overcome execution hurdles.

Act as the primary liaison to Product and Engineering teams, addressing systemic deployment blockers and translating field feedback into actionable product enhancements.

Guide implementation strategies with technical expertise and architectural foresight, taking ownership of the technical delivery process alongside customer-facing teams.

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

Possess at least 7 years of experience in troubleshooting technical issues for internal or external partners and customers.

Demonstrate experience in leading technical delivery strategies, debugging complex systems, and effectively interfacing with product and engineering organizations.

Proficiency in reading or debugging code in a general-purpose programming language such as Java, Python, or JavaScript.

Experience with enterprise integrations (APIs, ECMs, identity management), cloud infrastructure, or AI/ML model deployments is essential.

Familiarity with system design principles or orchestration frameworks is necessary.