Join Google Cloud as an AI Outcome Customer Engineer (Forward Deployed Engineering) to drive digital transformation for businesses. This role involves architecting solutions, debugging complex systems, and acting as a crucial engineering liaison. You'll ensure seamless adoption and rapid activation of Google Cloud products, bridging the gap between pre-sales and post-sales execution. Empower organizations by leveraging Google's cutting-edge technology and helping them solve critical business challenges.

Google Cloud is dedicated to accelerating digital transformation across industries. We provide enterprise-grade solutions powered by advanced Google technology, enabling developers to build more sustainably. Our trusted partnership helps businesses in over 200 countries and territories achieve growth and overcome their most significant obstacles.

Partner with Account teams and Customer Engineers during technical evaluations to assess project feasibility and shape proposals. Lead the upfront technical design for enterprise-grade AI solutions, ensuring secure integration of models and connectors into customer environments. Diagnose and resolve complex implementation issues, identify product bugs, and develop workarounds. Act as the primary liaison to Product and Engineering teams, troubleshooting deployment blockers and channeling field feedback into actionable feature requests. Drive implementation strategy with technical authority and architectural foresight, owning the technical delivery alongside customer-facing teams.

Responsibilities also include: - Validating FDE engagement requests. - Ensuring integration with customer data pipelines, identity providers, and compliance boundaries. - Translating real-world field feedback into actionable feature requests. - Steering implementation strategy through technical authority and architectural foresight.

A Bachelor's degree or equivalent practical experience is required. You should have 7 years of experience in troubleshooting technical issues for partners or customers, coupled with expertise in leading technical delivery strategies and debugging systems. Proficiency in reading or debugging code in a general-purpose language such as Java, Python, or JavaScript is essential. Experience with enterprise integrations (APIs, ECMs, identity), cloud infrastructure, AI/ML model deployments, and system design or orchestration frameworks is necessary.

Preferred qualifications include experience orchestrating specialized technical resources for complex builds, engaging with and influencing technical stakeholders and executive leaders, and the ability to deeply analyze novel technical problems and devise credible architectural solutions. Excellent executive communication skills, adept at translating technical complexities into business impact, are highly valued.