AI Outcome Customer Engineer, Google Cloud

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Artificial Intelligence · Cloud Engineering

In short

As an AI Outcome Customer Engineer at Google Cloud, you will bridge pre-sales and post-sales execution for AI solutions, ensuring rapid adoption and viable delivery. You will partner with account teams, lead technical design, diagnose complex issues, and serve as a liaison to product and engineering teams to drive customer success.

Responsibilities

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 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.

Requirements

Bachelor’s degree or equivalent practical experience.
5 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.

Desired Qualifications

Experience into novel technical problems, deciphering ambiguity, diagnosing bugs, and emerging with credible architectural solutions.
Experience orchestrating specialized technical resources to execute complex builds.
Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
Ability to communicate in English and Danish, Swedish or Finnish fluently to support clients in this region.
Excellent executive communication skills, capable of translating deep technical integration issues into business impact.

Benefits

15% bonus target
equity
benefits

Skills

cloud native architectureJavaC++PythonLangGraphAutoGenCrewAIAPIsenterprise content management (ECMs)identityCloud infrastructureAI/ML model deployments

#AI#Google Cloud#Customer Engineering#Cloud Architecture#Technical Delivery#System Design#Enterprise Integrations#AI/ML

About Google

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At Google, our mission is to organize the world's information and make it universally accessible and useful. From Search to AI, we develop products and services that improve the lives of billions, empowering individuals and businesses globally. We're driven by a passion for innovation, a commitment to solving complex problems, and a belief in the transformative power of technology. Since our founding in 1998, we've remained dedicated to creating a more helpful and connected world.

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