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AI Outcome Engineer, Forward Deployed Engineering

Pubblicato il 03-10-2026 - AI Chopping Block in Milano

pAs an AI Outcome Customer Engineer, Forward Deployed Engineering, you work as an enterprise architect, technical debugger, engineering liaison and technical delivery manager. You will bridge the gap between pre-sales agreement shaping and post-sales execution. Entering the agreement cycle during the technical evaluation phase for AI accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery. /p pAligned with our Forward Deployed Engineering (FDE) organization, you will architect how these technical assets actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints). /p pItaly: €90000 - €92000 (EUR) + 15% premio target + equity + benefits /p pLearn more about benefits at Google. /p ulliPartner with Account teams and Practice Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests. /liliDive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.



/liliServe as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests. /liliSteer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams. /li /ul h3Minimum qualifications: /h3 ulliBachelor’s degree or equivalent practical experience. /lili5 years of experience troubleshooting technical issues for internal/external partners or customers. /liliExperience with technical delivery strategies and interfacing with product or engineering organizations. /liliExperience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI). /liliExperience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments. /li /ul h3Preferred qualifications: /h3 ulliExperience interfacing directly with core product/engineering organizations regarding infrastructure or AI/ML model deployments, managing technical delivery strategies, and debugging systems. /li /ul #J-18808-Ljbffr

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