Senior Cloud AI Engineer, Google Cloud (English)

Google; Buenos Aires; Híbrido; MXN 3.082.000 - 4.110.000; Jornada completa

Descripción de la vacante

Google Cloud Consulting Professional Services seeks a Cloud AI Consultant to work with strategic customers on production GenAI solutions using Google Cloud. You will help design, deploy, and manage AI applications, collaborating with client executives and Google partners to ensure successful outcomes across industries.

You will lead technical projects, influence product roadmaps, present to boards, and mentor teams while upholding security, governance, and compliance standards.

Formación

• Bachelor's degree in Computer Science or related field.
• 6+ years in software engineering, cloud architecture, or technical consulting.
• 2+ years deploying production GenAI applications.
• Experience with Python and cloud computing (serverless, virtualization, secure networking).
• Fluent English communication with global teams.

Responsabilidades

• Lead global delivery and implementation of Gemini Enterprise solutions.
• Advise C-suite executives and shape AI strategy.
• Translate architectural challenges into actionable engineering requirements.
• Deliver high-stakes technical presentations to executives.
• Mentor engineers and promote best practices for agentic AI architectures.

Conocimientos

Python

Cloud computing principles

English communication

GenAI deployments

ADKs/LangChain/LlamaIndex/AutoGen

Software engineering/architecture

Educación

Bachelor's degree in Computer Science or related field

Herramientas

LangChain

LlamaIndex

AutoGen

ADKs

Descripción del empleo

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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Buenos Aires, Argentina; Mexico City, CDMX, Mexico.

Minimum qualifications:

• Bachelor's degree in Computer Science, related field, or equivalent practical experience.
• 6 years of experience in software engineering, cloud architecture, or technical consulting, including 2 years of experience deploying production Generative AI (GenAI) applications.
• 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).
• Ability to communicate in English fluently to communicate with global teams.

Preferred qualifications:

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or 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.
• Advanced 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.

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 global 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 Consultant, 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. You will also work closely with key Google partners currently servicing top accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise. You will possess a background in developing AI solutions, applying key industry tools, techniques, and methodologies. In addition, to be successful, you will know how to navigate ambiguity, be a technical expert in your field, and deliver customer success. You will have excellent client-facing communication and project management skills. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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

• 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 global accounts, shaping their overarching AI strategy and accelerating the adoption of Gemini Enterprise.
• Influence the core product roadmap 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.

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 .