GenAI Cloud Solutions Architect

Koin Limited; Ciudad de Mendoza; Presencial; ARS 211.276.000 - 316.914.000; Tempo integral

Resumo da vaga

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.

Qualificações

• 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.

Conhecimentos

GenAI deployments

Python

Agent Development Kits

LangChain

LlamaIndex

AutoGen

Cloud architecture

TensorFlow

Vertex AI

DataFlow

Formação

Bachelor's degree in Computer Science

Ferramentas

TensorFlow

Vertex AI

DataFlow

Gemini Enterprise

Descrição da vaga

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.