GenAI Cloud Solutions Architect

Koin Limited

Ciudad de Mendoza

Presencial

ARS 211.276.000 - 316.914.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Google is seeking a Cloud AI Engineer to join the Google Cloud Consulting Professional Services team. You will design and implement ML solutions using TensorFlow, Vertex AI, and Gemini Enterprise, guiding customers through enterprise GenAI deployments and cloud transformations.

You will travel to customer sites (Buenos Aires or Mexico City) to deliver workshops, identify opportunities, and collaborate with Product Management and Engineering to drive excellence across products.

Formación

  • Bachelor's degree in Computer Science or related field, or equivalent practical experience.
  • 3 years of software engineering, cloud architecture, or technical consulting.
  • 2 years deploying production GenAI applications.
  • Experience building and orchestrating agents using ADKs or LangChain/LlamaIndex/AutoGen.

Responsabilidades

  • Lead the delivery and deployment of Gemini Enterprise solutions for enterprise customers.
  • Act as a trusted technical advisor to Google's strategic customers to shape AI strategy and adoption.
  • Provide architectural guidance and collaborate with engineering to address product gaps and scalable workarounds.
  • Deliver technical presentations to stakeholders, driving Gemini Enterprise adoption and enablement.

Conocimientos

GenAI deployments
Python
Agent Development Kits
LangChain
LlamaIndex
AutoGen
Cloud architecture
TensorFlow
Vertex AI
DataFlow

Educación

Bachelor's degree in Computer Science

Herramientas

TensorFlow
Vertex AI
DataFlow
Gemini Enterprise

Descripción del empleo

Google is seeking a Cloud AI Engineer to join the Google Cloud Consulting Professional Services team. You will design and implement ML solutions using TensorFlow, Vertex AI, and Gemini Enterprise, guiding customers through enterprise GenAI deployments and cloud transformations.

You will travel to customer sites (Buenos Aires or Mexico City) to deliver workshops, identify opportunities, and collaborate with Product Management and Engineering to drive excellence across products.

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