Senior Ai/Ml Inference Platform Engineer

Software Engineering, Data Science; Buenos Aires; A distancia; ARS 136.828.000 - 273.656.000; Jornada completa

Descripción de la vacante

Google Cloud Consulting Professional Services seeks an experienced Senior Cloud AI Engineer to lead global delivery of Gemini Enterprise solutions, applying ADKs to complex, enterprise-scale challenges. You will partner with C-suite executives to shape AI strategy and drive adoption of Gemini Enterprise worldwide.

You will influence product roadmap, translate requirements for Google’s engineering teams, and mentor engineers to elevate engineering practices in agent-based AI architectures.

Formación

• Bachelor's degree in Computer Science, related field, or equivalent practical experience.
• 6+ years of experience in software engineering, cloud architecture, or technical consulting, incl. 2 years deploying production GenAI applications.
• Experience in Python and cloud computing principles (serverless, virtualization, secure networking).
• Experience building and orchestrating agents using ADKs or frameworks (LangChain, LlamaIndex, AutoGen).
• Ability to communicate in English fluently with global teams.

Responsabilidades

• Lead the global delivery and implementation of Gemini Enterprise solutions using ADKs to solve enterprise-scale challenges.
• Serve as trusted technical advisor to C-suite executives at Google’s global accounts, shaping AI strategy.
• Influence core product roadmap by translating architectural challenges into actionable requirements for engineering teams.
• Deliver high-stakes technical presentations to executives to secure large-scale wins.
• Mentor engineers and shape best practices for agentic AI architectures across the organization.

Conocimientos

English fluency

Cloud computing

Python programming

Educación

Bachelor's degree in CS or related field

Herramientas

LangChain

LlamaIndex

ADKs

Google Cloud

Descripción del empleo

ML / AI Engineer Senior Remoto Argentina, ID #00232

• Toolkits RAG: LangChain Retrievers, LlamaIndex integrations.
  Entorno Cloud & Serverless GenAI

Senior Cloud AI Engineer, Google Cloud (English)

_corporate_fare_ Google _place_ Mexico City, CDMX, Mexico; Buenos Aires, Argentina
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

XPlease 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.

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 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.

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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.

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