AI Agent Architect: Multi-Agent, RAG on GCP

Capgemini Engineering; Bogotá ciudad; Presencial; COP 90.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

Capgemini Engineering Colombia seeks an experienced AI Engineer to design, develop, and deploy enterprise AI agents and multi-agent solutions using Google's AI ecosystem. You will leverage enterprise data, semantic models, and cloud services to deliver scalable, secure, and Responsible AI solutions.

Join Capgemini Engineering to work on Gemini, Vertex AI, RAG architectures, and Looker semantic layers, integrating with enterprise APIs and BigQuery.

Formación

• Design and implement AI agents and multi-agent solutions using Google’s AI ecosystem.
• Utilize enterprise data, semantic models, and cloud services for scalable, secure Responsible AI.
• Hands-on experience with Gemini, Vertex AI, and Agent Builder.

Responsabilidades

• Develop and deploy multi-agent solutions using Gemini and Agent Builder.
• Design RAG solutions leveraging EDW data and Looker semantic models.
• Integrate AI agents with enterprise APIs, databases, and GCP services.
• Optimize agent performance, orchestration, and user experience for business-critical use cases.
• Implement Responsible AI governance, security, monitoring, and compliance controls.

Conocimientos

Gemini

Vertex AI

Agent Builder

Python

SQL

API integration

RAG architectures

Vector databases

Looker

BigQuery

GCP services

LangChain

AI governance

Educación

Bachelor's degree in Computer Science

Herramientas

Looker

BigQuery

Descripción del empleo

Capgemini Engineering Colombia seeks an experienced AI Engineer to design, develop, and deploy enterprise AI agents and multi-agent solutions using Google's AI ecosystem. You will leverage enterprise data, semantic models, and cloud services to deliver scalable, secure, and Responsible AI solutions.

Join Capgemini Engineering to work on Gemini, Vertex AI, RAG architectures, and Looker semantic layers, integrating with enterprise APIs and BigQuery.