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AI Job Summary

Partner with account and customer engineering teams to assess project feasibility, diagnose implementation issues at the code level, and resolve deployment blockers. Identify product bugs, validate workarounds, and translate field feedback into feature requests for Product and Engineering teams. Requires a bachelor's degree or equivalent, five years troubleshooting technical issues for customers or partners, experience with system design frameworks like LangGraph or AutoGen, and knowledge of enterprise integrations or cloud infrastructure.

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Job Description

  • Partner 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.
  • 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.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience troubleshooting technical issues for internal/external partners or customers.
  • Experience with technical delivery strategies and interfacing with product or engineering organizations.
  • Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
  • Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.

Preferred qualifications:

  • Experience interfacing directly with core product/engineering organizations regarding infrastructure or AI/ML model deployments, managing technical delivery strategies, and debugging systems.
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience troubleshooting technical issues for internal/external partners or customers.
  • Experience with technical delivery strategies and interfacing with product or engineering organizations.
  • Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
  • Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.
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  • Role AI Outcome Engineer, Forward Deployed Engineering
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location Italy
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview
Eligibility
Italy Right to work in Italy required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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