Customer Engineer III, Cloud AI, Google Cloud

Google; Cambridge (MA); On-site; USD 152,000 - 221,000; Full time

Job summary

Google Cloud is seeking a Customer Engineer (CE) specializing in Cloud AI to accelerate technical wins and adoption of complex workloads in customer environments. You will partner with technical sales teams, write code for prototypes, POCs, and demos, and provide deep technical guidance to customers while shaping product feedback.

You’ll engage with executives and technical stakeholders, translate customer needs into practical solutions, and help Google Cloud customers realize secure, scalable

Qualifications

• 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 (LangGraph, CrewAI, AutoGen) and agentic design patterns.
• 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 demos, prototypes, or workshops for customers.

Responsibilities

• Drive the technical win for Cloud AI workloads through the customer lifecycle.
• Provide functional, customer-tailored solutions that secure buy-in from domain experts.
• Provide deep technical consultation and build lasting customer relationships.
• Contribute reusable solutions and assets with GTM and engineering teams.
• Document and prioritize customer feature requests and issues with product teams.

Skills

Cloud native architecture

AI agent orchestration frameworks

Advanced API prompting

Machine learning model development

Stakeholder communication

Prototyping demos/workshops

Education

Bachelor's degree or equivalent practical experience

Master's degree in CS/Engineering/Math or related field

Tools

LangGraph

CrewAI

AutoGen

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Cambridge, MA, USA; Reston, VA, USA; Houston, TX, USA; Miami, FL, USA; New York, NY, USA.

Minimum qualifications

• 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, multi-agent collaboration), and integrating models into autonomous workflows via 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 demos, prototypes, or workshops for customers.

Preferred qualifications

• Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
• Experience in architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., LLMs, Diffusion, and Multimodal Models).
• Experience developing and deploying Generative AI applications, with a focus on implementing RAG pipelines, integrating vector databases, and orchestrating LLM interactions via APIs.
• Experience in the hospitality, travel, power, manufacturing or energy industry.
• Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

About The Job

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 Customer Engineer (CE) with a specialty in Cloud Artificial Intelligence (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 product areas, in partnership with Platform Customer Engineers (CEs), to be writing code to develop prototypes, proofs-of-concept (POCs), and demos to promote new specialized solutions to customers. You will solve AI customer issues and provide a critical feedback loop to influence product development. You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales expertise, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Drive the technical win for workloads within Cloud AI to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp.
• Combine business strategies, development, and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• 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 with the Go-To-Market (GTM) team.
• Work within product and engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .