Senior Cloud AI Engineer - Enterprise GenAI & Gemini Lead

Google LLC; Ciudad de México; On-site; MXN 1,000,000 - 1,600,000; Full time

Job summary

Google Cloud Consulting Professional Services helps customers transform their businesses with Google Cloud technologies. As a Cloud AI Engineer, you will work with strategic customers to develop, deploy, and manage custom AI solutions in production, leveraging Gemini Enterprise and robust security and governance.

You will provide project management, consulting, and technical guidance to engagements while collaborating with client executives and technical leaders.

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.

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 strategic global accounts, shaping AI strategy.
• Translate architectural challenges into actionable requirements for Google's engineering teams.
• Deliver best-practice recommendations and high-stakes technical presentations to executives to secure large-scale wins.
• Act as a thought leader and mentor to elevate the technical acumen across Google Cloud.

Skills

GenAI deployment

LLM-based multimodal solutions

AI security & governance

RAG architectures

Technical project leadership

Education

Master's degree in Computer Science or related field

Tools

Google Cloud certifications

Job description

Google Cloud Consulting Professional Services helps customers transform their businesses with Google Cloud technologies. As a Cloud AI Engineer, you will work with strategic customers to develop, deploy, and manage custom AI solutions in production, leveraging Gemini Enterprise and robust security and governance.

You will provide project management, consulting, and technical guidance to engagements while collaborating with client executives and technical leaders.