Senior GenAI Engineer: LLMs, ADKs & Cloud AI

Ernst & Young Advisory Services Sdn Bhd; Partido de Quilmes; Híbrido; ARS 198.737.000 - 259.887.000; Jornada completa

Descripción de la vacante

Google Cloud is seeking a Cloud AI Engineer to design and implement machine learning solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. You will travel to customer sites to deploy solutions and deliver workshops, helping customers apply ML to their business.

You will work with Product Management to drive product excellence and support Google Cloud customers across a range of industries, contributing to enterprise-scale AI deployments and governance.

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 Generative AI (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 delivery, deployment, and implementation of Gemini Enterprise solutions, using ADKs.
• Act as trusted technical advisor to Google's strategic customers to shape AI strategy.
• Provide architectural guidance and architect scalable workarounds for edge cases.
• Deliver best-practice recommendations and technical presentations to stakeholders, including executives.

Conocimientos

GenAI deployments

Python

Cloud architecture

ADKs frameworks

Educación

Bachelor's degree in Computer Science or related field

Master's degree in CS/AI (preferred)

Herramientas

LangChain

LlamaIndex

AutoGen

Agent Development Kits (ADKs)

Descripción del empleo

Google Cloud is seeking a Cloud AI Engineer to design and implement machine learning solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. You will travel to customer sites to deploy solutions and deliver workshops, helping customers apply ML to their business.

You will work with Product Management to drive product excellence and support Google Cloud customers across a range of industries, contributing to enterprise-scale AI deployments and governance.