Customer Engineer, Generative AI (English, Spanish)

March 20, 2026

Job Overview

  • Date Posted
    March 20, 2026
  • Location
  • Expiration date
    --

Job Description

2026-03-03T12:01:05.039Z

87646076323930822

Please submit your resume in English – we can only consider applications submitted in this language.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Minimum qualifications:

  • Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 6 years of experience with cloud native architecture in a customer-facing or support role.
  • 5 years of experience in one or more general purpose programming languages (e.g., Python, Java, C++, Go) with a focus on Machine Learning or Gen AI applications.
  • Experience with Agentic AI frameworks (e.g., LangGraph, CrewAI, or LangChain) and integrating AI APIs (e.g., large language models, speech-to-text, or multimodal).
  • Ability to communicate in English and Spanish fluently to engage with local stakeholders.

Preferred qualifications:

  • Master’s degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
  • Experience implementing CI/CD solutions in the context of Generative AI applications, including the design of automated evaluation frameworks, continuous integration for agents, and observability strategies for production systems.
  • Experience in architecting and developing software for scalable, distributed systems.
  • Experience in data and information management as it relates to big data trends and issues within businesses.
  • Understanding of modern AI architectures beyond basic prompting, including advanced Retrieval-Augmented Generation (RAG) techniques, function calling, memory banks, semantic caching, guardrail mechanisms, vector search optimization, and model fine-tuning.

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 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, you will partner with technical sales teams as a subject matter expert in Generative AI to differentiate Google Cloud for our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concept, and troubleshoot technical roadblocks. Use your expertise and presentation skills to understand customer requirements and present practical solutions on Google Cloud. You will use your technical, communication, and organizational skills to partner with internal engineering stakeholders to improve products, build solutions, and identify innovative ways to multiply your impact.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Partner with sales teams to identify and qualify AI business opportunities. Act as the primary technical advisor for AI adoption, helping customers define their strategy for “Buy vs. Build” and identify high-impact use cases.
  • Share in-depth Generative AI and ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
  • Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete AI solution on Google Cloud.
  • Drive the adoption of Agentic AI systems by guiding enterprise customers in designing and implementing scalable application capabilities.

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.