AI Outcome Customer Engineer III, Forward Deployed Engineering

As an AI Outcome Customer Engineer in Forward Deployed Engineering, you will bridge the gap between pre-sales agreement shaping and post-sales execution. Aligned with our Forward Deployed Engineering (FDE) organization, you will steer AI deployments, ensuring solutions are built for long-term viability, rapid activation, and enterprise-grade 's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $183000 - $265000 (USD) + 20% bonus target + equity + benefits
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benefits at Google
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Minimum qualifications
Bachelor’s degree or equivalent practical experience.
7 years of experience troubleshooting technical issues for internal/external partners or customers.
Experience in either system design or reading code (e.g., Java, C++, Python).

Preferred qualifications
Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, and AI/ML model deployments.
Ability to do in-depth search into novel technical problems, decipher extreme ambiguity, diagnose bugs, and emerge with credible architectural solutions.
Excellent executive communication skills, capable of translating deep technical integration issues into business impact.

Responsibilities
Partner with account teams and practice Customer Engineers (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.