Senior Cloud AI Engineer, Google Cloud (English)
Senior Cloud AI Engineer, Google Cloud (English)
Mexico City, CDMX, Mexico; Buenos Aires, Argentina
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
In most instances, this position requires in-person interviews as part of the hiring process.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina.
About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive.
We help customers transform and evolve their business through the use of Google's general network, web‐scale data centers, and software infrastructure.
As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud AI Engineer, you will work directly with Google's most strategic customers on critical projects to help them transform their businesses using AI/ML technologies.
You will help customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies.
You will provide technical project management, consulting and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform.
Google is proud to be an equal opportunity and affirmative action employer.
We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, color, religion, sex,



national origin, sexual orientation, gender identity/expression, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‐to‐be, criminal histories consistent with legal requirements, or any other basis protected by law.
Responsibilities
Lead the global delivery and implementation of Gemini Enterprise solutions, applying Agent Development Kits (ADKs) to solve highly complex, enterprise‐scale technical challenges.
Serve as the trusted technical advisor to C‐suite executives at Google's most strategic integral accounts, shaping their overarching AI strategy and accelerating the adoption of Gemini Enterprise.
Influence the core product road map by translating complex architectural challenges into actionable requirements for Google's engineering teams.
Deliver leading practice recommendations and high‐stakes technical presentations to executive boards and key business stakeholders to secure massive‐scale technical wins.
Act as a thought leader and mentor across the Google Cloud organization, elevating the technical acumen of engineers and shaping best practices for agentic AI architectures.
Minimum qualifications
Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
Experience in Python and cloud computing principles (serverless, virtualization, secure networking).




Experience building and orchestrating agents using Agent Development Kits (ADKs) or frameworks (LangChain, LlamaIndex, AutoGen).
Experience in software engineering, cloud architecture, or technical consulting and deploying production Generative AI (GenAI) applications.
Ability to communicate in English fluently to communicate with global teams.
Preferred qualifications
Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Relevant Google Cloud certifications, such as Professional Cloud Architect or Professional Machine Learning Engineer.
Experience deploying enterprise GenAI platforms (Gemini Enterprise), with deep understanding of AI security, governance, and compliance standards.
Experience leveraging Large Language Model (LLMs) to deploy enterprise‐scale multimodal solutions across text, image, video, and audio.
Experience implementing scalable RAG architectures connected to external productivity tools and enterprise databases.
Proven track record leading technical project deployments and engineering teams on large cloud transformations.
EEO Policy
Google is proud to be an equal opportunity and affirmative action employer.
We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, gender identity/expression, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‐to‐be, criminal histories consistent with legal requirements, or any other basis protected by law.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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