Senior Cloud AI Engineer, Google Cloud (English)

Google LLC; Buenos Aires; Presencial; ARS 1.800.000 - 3.600.000; Jornada completa

Descripción de la vacante

Google Cloud Consulting Professional Services seeks a Cloud AI Engineer to partner with Google’s most strategic customers on AI/ML initiatives. You will design, deploy, and manage production AI solutions on Google Cloud, while providing technical project leadership to executives and senior technical teams.

You will lead the Gemini Enterprise delivery, influence roadmap, and mentor engineers, advancing scalable, secure AI architectures across global accounts in a fast-growing, collaborative

Formación

• Bachelor's degree in Computer Science, related field, or equivalent practical experience.
• 6 years of software engineering/cloud experience with 2 years GenAI deployment.
• Experience with Python and cloud computing principles, including serverless and secure networking.
• Experience building and orchestrating agents using ADKs or LangChain, LlamaIndex, AutoGen.
• Fluent English communication with global teams.

Responsabilidades

• Lead global delivery and implementation of Gemini Enterprise solutions for enterprise customers.
• Serve as trusted technical advisor to executives, shaping AI strategy and adoption.
• Influence core product roadmap by translating architecture into requirements.
• Deliver high-stakes technical presentations to secure large-scale wins.
• Mentor engineers and elevate best practices for AI architectures.

Conocimientos

Python

Cloud computing

English fluency

GenAI deployment

ADK frameworks

Global collaboration

Educación

Bachelor's degree in Computer Science

Herramientas

LangChain

LlamaIndex

AutoGen

Gemini Enterprise

Descripción del empleo

X Please submit your resume in English - we can only consider applications submitted in this language.
for Mexican applicants:
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. 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.

• 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 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. 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. 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

• 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 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, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, 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. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.