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AI Outcome Customer Engineer IV, Forward Deployed Engineering

Google· Go-to-Market AI / GTM AI tech organization
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Hybrid (New York, NY; Atlanta, GA; Austin, TX; Chicago, IL; Los Angeles, CA; Sunnyvale, CA; San Francisco, CA; Seattle, WA)$233k - $324kFull-timePosted 4w ago

About the role

Role within Google Cloud’s Go-to-Market AI organization acting as enterprise architect, technical debugger, engineering liaison and technical delivery manager to shape AI solutions for strategic accounts during the evaluation and delivery phases.

Responsibilities

  • Partner with Account teams and practice Customer Engineers 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.

Qualifications

  • - Bachelor’s degree or equivalent practical experience.
  • - 10 years of experience with cloud native architecture in a customer-facing or support role.
  • - Experience with technical delivery strategies and interfacing with product or engineering organizations.
  • - Experience in either system design or reading code (e.g., Java, C++, Python).
  • - 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.

Skills

Required:Cloud-native architectureTechnical delivery strategySystem design / code readingOrchestration frameworksEnterprise integrations
Nice to have:Executive stakeholder communication

Benefits

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at 6.15 hours per pay period for the first five years
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Last updated Oct 23, 2026. Interested? Apply on the company site.

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