Cloud AI Architect: Gemini GenAI & Enterprise Deployments

Google Inc.; Buenos Aires; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Google Cloud Consulting Professional Services seeks a Cloud AI Engineer to design and implement ML solutions for customer use cases using TensorFlow, DataFlow, and Vertex AI. You will travel to customer sites, identify opportunities to apply ML, and empower customers through workshops and training.

You will collaborate with Product Management and Product Engineering to continuously improve Google Cloud products and deliver enterprise-grade AI deployments for customers globally.

Formación

• Bachelor's degree in Computer Science, related field, or equivalent practical experience.
• 3 years of experience in software engineering, cloud architecture, or technical consulting.
• 2 years of experience deploying production GenAI applications.
• Experience building and orchestrating agents using ADKs or frameworks (LangChain, LlamaIndex, AutoGen).
• Experience in Python and cloud computing principles (serverless, virtualization, secure networking).

Responsabilidades

• Lead the delivery of Gemini Enterprise solutions, using ADKs to solve enterprise challenges.
• Advise strategic customers on AI strategy and Gemini Enterprise adoption.
• Provide architectural guidance and scalable workarounds for edge cases.
• Deliver presentations to executives and drive enablement for Gemini Enterprise.

Conocimientos

3 years of software engineering/ cloud

GenAI deployment

Agent Development Kits (ADKs)

Python

Educación

Bachelor's degree in Computer Science or related field

Master’s degree (preferred)

Herramientas

LangChain

LlamaIndex

AutoGen

TensorFlow/DataFlow/Vertex AI

Descripción del empleo

Google Cloud Consulting Professional Services seeks a Cloud AI Engineer to design and implement ML solutions for customer use cases using TensorFlow, DataFlow, and Vertex AI. You will travel to customer sites, identify opportunities to apply ML, and empower customers through workshops and training.

You will collaborate with Product Management and Product Engineering to continuously improve Google Cloud products and deliver enterprise-grade AI deployments for customers globally.