Job Description

As a Practice Customer Engineer specializing in Cloud AI, you will collaborate with technical sales teams to enhance Google Cloud's offerings. Your role involves providing technical expertise, developing prototypes, and addressing AI-centered customer issues to drive successful adoption of complex workloads.

Requirements

Bachelor’s degree or equivalent practical experience.
6 years of experience with cloud native architecture in industry or a customer-facing or support role.
Experience with machine learning model development and deployment.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Experience using programming languages (e.g., Python, Javascript/Typescript) to demo, prototype, or workshop with customers.
Experience with AI agent orchestration frameworks and integrating large language models into autonomous workflows.

Responsibilities

Drive the technical win for complex workloads within Cloud AI to ensure successful adoption.
Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions.
Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
Leverage learnings from customer engagements to contribute to reusable solutions and assets.
Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.

Benefits

Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.