GenAI Cloud Architect – Enterprise AI & Leadership

Google Inc.

Ciudad de México

Híbrido

MXN 1.800.000 - 3.000.000

Jornada completa

Hace 5 días
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Descripción de la vacante

Google Cloud Consulting Professional Services is seeking a mid-level to senior engineer to guide and mentor teams as they deliver Gemini Enterprise solutions. This role focuses on architecting scalable AI platforms, leading ADK-enabled deployments, and advising C-suite clients on enterprise AI strategy.

Candidates should have hands-on GenAI deployment experience, strong Python skills, and a background in cloud architecture.

Formación

  • Bachelor's degree in CS or related field; equivalent practical experience.
  • 5 years in software engineering, cloud architecture, or technical consulting.
  • 2 years deploying production GenAI applications.
  • Experience with ADKs or frameworks (LangChain, LlamaIndex, AutoGen).

Responsabilidades

  • Act as a thought leader and mentor across the Google Cloud organization.
  • Oversee the global delivery and implementation of Gemini Enterprise solutions using ADKs.
  • Serve as the trusted technical advisor to C-suite executives at strategic accounts, shaping AI strategy.
  • Translate complex architectural challenges into actionable requirements for Google's engineering teams.
  • Deliver high-stakes technical presentations to executive boards and key stakeholders.

Conocimientos

Mentoring
Thought leadership
Python
GenAI deployment
Cloud architecture

Educación

Bachelor's degree in CS or related field
Master’s degree in CS/AI/ML or related field

Herramientas

ADKs (Agent Development Kits)
LangChain
LlamaIndex
AutoGen

Descripción del empleo

Google Cloud Consulting Professional Services is seeking a mid-level to senior engineer to guide and mentor teams as they deliver Gemini Enterprise solutions. This role focuses on architecting scalable AI platforms, leading ADK-enabled deployments, and advising C-suite clients on enterprise AI strategy.

Candidates should have hands-on GenAI deployment experience, strong Python skills, and a background in cloud architecture.

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