Join the Google Cloud team and empower organizations to seamlessly transition to Google products. As a Customer Engineer, you'll be instrumental in solving technical challenges and showcasing how our solutions enhance productivity, collaboration, and innovation. You will collaborate with a diverse team, including web developers and system administrators, while building crucial relationships with customers to drive Google Cloud's growth and foster global innovation.

This role as an AI Outcome Customer Engineer, Forward Deployed Engineering (FDE), encompasses the responsibilities of an enterprise architect, technical debugger, and engineering liaison. You will serve as the crucial bridge between pre-sales agreement shaping and post-sales execution. Engaging with strategic accounts during their technical evaluation, you will ensure solutions are designed with a strong focus on adoption, rapid activation, and successful delivery. You will be the principal Enterprise Architect and Technical Delivery Manager, charting the path forward. Responsibilities include technical design, systemic debugging, product and engineering integration, and strategic FDE alignment, ensuring these advanced technologies integrate effectively into the customer's IT ecosystem, considering connectors, identity, data residency, and legal constraints, and leading the technical delivery strategy from beginning to end.

Google Cloud empowers organizations through digital transformation, delivering enterprise-grade solutions powered by Google's advanced technology. Our tools assist developers in building more sustainably. Businesses across more than 200 countries and territories rely on Google Cloud as their trusted partner to achieve growth and overcome their most significant business challenges.

Collaborate with Account Teams and Customer Engineers during technical evaluation to assess project feasibility, shape proposals for long-term adoption, and validate Forward Deployed Engineering (FDE) engagement requests.

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

Investigate and resolve complex customer implementation issues by diving into code, identifying core product bugs, and testing workarounds to overcome execution obstacles.

Act as the primary liaison with Product and Engineering teams, troubleshooting systemic deployment blockers and transforming real-world field feedback into actionable feature requests.

Drive implementation strategy with technical authority and architectural foresight, taking ownership of the technical delivery reality in conjunction with customer-facing teams.

Possess a Bachelor’s degree or equivalent practical experience.

Demonstrate 7 years of experience in troubleshooting technical issues for internal/external partners or customers.

Showcase experience in leading technical delivery strategies, debugging systems, and collaborating with product and engineering organizations.

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

Have experience with enterprise integrations, including APIs, enterprise content management (ECMs), and identity management, as well as cloud infrastructure or AI/ML model deployments.

Experience in system design or orchestration frameworks is also required.

Preferred qualifications include experience orchestrating specialized technical resources for complex builds and engaging with technical stakeholders or executive leaders. The ability to deeply analyze novel technical problems, navigate ambiguity, diagnose bugs, and develop credible architectural solutions is highly valued. Excellent executive communication skills, with the ability to translate complex technical issues into business impact, are essential.