Senior Security Engineer: Cloud & App Security Leader

Silver; Buenos Aires; Hybrid; ARS 1,500,000 - 2,700,000; Full time

Job summary

Google Cloud Consulting Professional Services seeks a Senior Cloud AI Engineer to lead Gemini Enterprise deployments and help customers implement scalable AI solutions on Google Cloud. You will partner with executive sponsors, translate complex requirements into actionable plans, and guide engineering teams toward enterprise-grade outcomes.

The role focuses on Python, cloud architecture, and production GenAI deployments, with fluency in English to coordinate with global teams and partners.

Qualifications

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

Responsibilities

• Lead the global delivery and implementation of Gemini Enterprise solutions, applying ADKs to solve complex, enterprise-scale challenges.
• Serve as trusted technical advisor to C-suite executives at Google's global accounts, shaping AI strategy.
• Influence the core product roadmap by translating architectural challenges into actionable requirements for Google's engineering teams.
• Deliver high-stakes technical presentations to executive boards and key stakeholders to secure large-scale wins.
• Act as a thought leader and mentor across Google Cloud, shaping best practices for agentic AI architectures.

Skills

Python

Cloud computing

GenAI

Technical consulting

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science or AI

Tools

LangChain

LlamaIndex

AutoGen

Job description

Senior Cloud AI Engineer, Google Cloud (English)

We are seeking a Senior Cloud AI Engineer to join the Google Cloud Consulting Professional Services team and help customers transform their businesses using AI/ML technologies. 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.

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.

Minimum qualifications

• Bachelor's degree in Computer Science, 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.

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.

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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. See also Google's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , and How we hire ( .