Customer Engineer , Cloud AI, HCLS, Cloud

Overview

The application window will be open until at least February 9, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note:

Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: Chicago, IL, USA;
Atlanta, GA, USA;
Austin, TX, USA;
New York, NY, USA;
Cambridge, MA, USA;
San Francisco, CA, USA.

Remote location(s): United States.

• Bachelor’s degree or equivalent practical experience.
• 4 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 with AI agent orchestration frameworks (e.g., Lang Graph, CrewAI, Auto Gen), agentic design patterns (e.g., tool-use, multi-agent collaboration), and integrating models into autonomous workflows via advanced API prompting and Retrieval-Augmented Generation (RAG).
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience leveraging programming or technical proficiencies to demo, prototype, or workshop with customers.

• Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
• Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, long short-term memory (LSTM), convolutional networks).
• Experience in architecting and developing software or infrastructure for scalable, distributed systems.
• Experience with frameworks for deep learning (e.g., PyTorch, Tensor Flow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), or using machine learning APIs.
• Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers.

You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Practice Customer Engineer (CE) with a specialty in Cloud AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to be writing code to developing prototypes, proofs-of-concept, and demos to sell new, highly specialized solutions to customers.

You will solve AI-centered customer challenges and provide a critical feedback loop to influence product development.

In this role, you will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and present practical and useful solutions on Google Cloud. You will blend sales prowess, market knowledge, and direct technical engagement to prove the value of the Google Cloud portfolio.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven ’ll provide you…