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Cloud AI Engineer, Professional Services, Google Cloud

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging Google's cutting-edge technology.
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
6+ years of experience
AI · Enterprise SaaS · Cloud

Job Description

Google Cloud Professional Services is seeking a Cloud AI Engineer to guide customers through their cloud transformation journey. This role combines technical expertise in machine learning with customer-facing responsibilities, helping businesses leverage Google's infrastructure and AI capabilities. The position requires deep knowledge of ML frameworks, cloud solutions, and the ability to implement production-ready machine learning systems.

As a Cloud AI Engineer, you'll design and implement ML solutions using Google's core products including TensorFlow, DataFlow, and Vertex AI. You'll work directly with customers to identify ML opportunities, deliver workshops, and deploy solutions. The role involves close collaboration with Product Management and Engineering teams to drive product excellence.

The ideal candidate brings 6+ years of ML solution building experience, strong programming skills in languages like Python/Java/Go, and expertise in deploying custom ML models. You'll need to understand deep learning frameworks, data warehousing concepts, and production ML system considerations. The role requires up to 30% travel within the region.

Google Cloud's mission is to accelerate digital transformation across industries, leveraging cutting-edge technology to solve critical business problems. This role offers the opportunity to work with key customers across Latin America, helping them implement innovative AI solutions while being part of Google's renowned technical community.

The position combines technical depth with customer interaction, requiring both strong ML expertise and excellent communication skills. You'll be instrumental in helping customers succeed with Google Cloud's AI products while contributing to the broader ML community through best practices and knowledge sharing.

Last updated 20 days ago

Responsibilities For Cloud AI Engineer, Professional Services, Google Cloud

  • Be a trusted technical advisor to customers and solve complex machine learning challenges
  • Coach customers on practical challenges in machine learning systems
  • Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production
  • Create and deliver best practice recommendations, tutorials, blog articles, and sample code
  • Travel up to 30% in-region for meetings, technical reviews, and onsite delivery activities

Requirements For Cloud AI Engineer, Professional Services, Google Cloud

Python
Java
Go
  • Bachelor's degree in Computer Science or equivalent practical experience
  • 6 years of experience building machine learning solutions and working with technical customers
  • Experience designing cloud enterprise solutions and supporting customer projects to completion
  • Experience coding in one or more general purpose languages including data structures, algorithms, and software design
  • Experience building and deploying custom ML models into production
  • Ability to communicate in English fluently

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