Customer Engineer I, Cloud AI, HCLS, Google Cloud

About this role

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.
Minimum qualifications:

• 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., LangGraph, CrewAI, AutoGen), 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.

Preferred qualifications:

• 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 framewor...