AI Outcome Architect: Enterprise Cloud Solutions Delivery

Google LLC

United States

In loco

GBP 120.000 - 170.000

Tempo pieno

5 giorni fa

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Descrizione del lavoro

Google is seeking an AI Outcome Customer Engineer in its GTM AI Tech organization. The role blends enterprise architecture, technical debugging, and delivery management to shape AI solutions within customer ecosystems.

You’ll guide technical evaluation, ensure secure model deployment, and collaborate with Product/Engineering to translate field feedback into features. Join a team accelerating adoption of Google’s Vertex AI portfolio.

Competenze

Bachelor’s degree or equivalent practical experience.
7 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 reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript).
Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
Experience with enterprise integrations (e.g., APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.

Mansioni

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 engagement requests.
Lead upfront technical design for enterprise-grade AI solutions, ensuring secure and seamless 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.