Senior AI Architect - Generative AI for Luxury Yachting

Borderless

Argentina

Presencial

ARS 226.002.000 - 316.403.000

Jornada completa

Hace 9 días
Generador de candidaturas

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Descripción de la vacante

The Ritz-Carlton Yacht Collection is seeking an experienced Senior AI Developer to design, develop, and deploy enterprise-grade generative AI solutions using AWS Bedrock, Python, and modern cloud-native architectures. You will work with LLMs, RAG, and agentic AI systems to deliver secure, scalable AI applications across business teams.

You will build backend services with Python, FastAPI, and microservices, implement guardrails and monitoring, and collaborate with data scientists, architects,

Formación

  • Education at least a Bachelor's or Master's in Computer Science, Information Technology, Data Science, Artificial Intelligence, or related field.

Responsabilidades

  • Design and develop enterprise AI applications using AWS Bedrock foundation models.
  • Build conversational AI assistants, intelligent agents, and AI-powered automation solutions.
  • Implement Retrieval-Augmented Generation (RAG) architectures with vector databases and enterprise knowledge sources.
  • Develop prompt engineering frameworks and optimize prompts for accuracy and performance.
  • Evaluate and benchmark foundation models for specific business use cases.

Conocimientos

Python
LLM development
FastAPI
API design
CI/CD
AWS Bedrock
LangChain
Containerization
RAG
Prompt engineering

Educación

Bachelor's or Master's in CS/IT/Data Science/AI

Herramientas

AWS Bedrock
LangChain
OpenSearch
Docker
Terraform
API Gateway

Descripción del empleo

The Ritz-Carlton Yacht Collection is seeking an experienced Senior AI Developer to design, develop, and deploy enterprise-grade generative AI solutions using AWS Bedrock, Python, and modern cloud-native architectures. You will work with LLMs, RAG, and agentic AI systems to deliver secure, scalable AI applications across business teams.

You will build backend services with Python, FastAPI, and microservices, implement guardrails and monitoring, and collaborate with data scientists, architects,

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