Customer Engineer III, Cloud AI, Google Cloud

Google•Miami, FL

2d•$152,000 - $221,000

About The Position

As a Customer Engineer specializing in Cloud Artificial Intelligence (AI), you will partner with technical sales teams to differentiate Google Cloud and accelerate technical wins and adoption of complex, specialized workloads. You will apply deep expertise in Cloud AI products, working with Platform Customer Engineers to write code and develop prototypes, proofs of concept, and demos that promote specialized solutions to customers. You will help solve AI customer issues and provide feedback that influences product development. The role calls for strong organizational, communication, and presentation skills to understand customers’ business and technical requirements and present practical solutions on Google Cloud. It blends sales expertise, market knowledge, and technical engagement to demonstrate the value of Google Cloud’s portfolio. You will support customers from technical evaluation through ramp-up and work with product, engineering, and go-to-market teams.

Requirements

Bachelor’s degree or equivalent practical experience.
10 years of experience with cloud-native architecture in a customer-facing or support role.
Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic design patterns (e.g., tool use and multi-agent collaboration), and integrating models into autonomous workflows through advanced API prompting and RAG.
Experience with machine learning model development and deployment.
Experience engaging with and presenting to technical stakeholders and executive leaders.
Experience using programming languages to design customer demos, prototypes, or workshops.

Nice To Haves

Master’s degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
Experience architecting and developing software or infrastructure for scalable, distributed systems.
Experience building machine learning solutions and leveraging machine learning architectures such as LLMs, diffusion, and multimodal models.
Experience developing and deploying Generative AI applications, particularly RAG pipelines, vector database integration, and orchestration of LLM interactions via APIs.
Experience in the hospitality, travel, power, manufacturing, or energy industry.
Ability to learn quickly and work with emerging technologies, methodologies, and solutions in the cloud/IT technology space.

Responsibilities

Drive technical wins for Cloud AI workloads, supporting the business cycle from technical evaluation through customer ramp-up to enable rapid and successful adoption.
Combine business strategies, development, and prototyping to create functional, customer-tailored solutions that secure buy-in from customer domain experts.
Provide deep technical consultation, act as a technical advisor, and build lasting customer relationships.
Apply learnings from customer engagements to contribute reusable solutions and assets with the Go-To-Market (GTM) team.
Use product and engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues.