AI Outcome Customer Engineer, Google Cloud

Overview

As an AI Outcome Customer Engineer, you will bridge pre-sales and post-sales execution for AI accounts. You lead upfront technical design of enterprise AI solutions and ensure secure integration with customer data ecosystems. You diagnose complex implementation issues and translate field feedback into actionable features. You collaborate with Product, Engineering, and customer teams to drive adoption, rapid activation, and feasible delivery. This role offers impact across architecture, delivery, and executive stakeholder engagement.

Responsibilities

• Partner with account teams and CEs during technical evaluation phases to assess feasibility and shape long-term adoption proposals
• Lead upfront technical design for enterprise-grade AI solutions and secure integration into data pipelines, identity providers, and compliance boundaries
• Diagnose and resolve complex customer implementation issues at the code level, identify product bugs, and test workarounds
• Serve as liaison to core Product and Engineering to troubleshoot deployment blockers and translate field feedback into feature requests
• Steer implementation strategy with technical authority and architectural foresight while sharing delivery ownership with customer-facing teams
• Operate as an enterprise architect, technical debugger, engineering liaison, and delivery manager across pre-sales to post-sales cycles
• Architect how technical assets integrate into the customer IT ecosystem (connectors, data residency, legal constraints)
• Collaborate with cross-functional teams to ensure adoption, activation, and viable delivery of AI solutions

Key requirements

• 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, ECMs, identity), Cloud infrastructure, or AI/ML model deployments

• Excellent executive communication skills
• Ability to influence technical stakeholders or executive leaders
• Problem-solving mindset with appetite for ambiguous technical challenges
• Java
• Python
• JavaScript

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