Google Agentic AI Engineer

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

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same.

Job Description

Design, develop, and deploy enterprise AI agents and multi-agent solutions using Google's AI ecosystem. Leverage enterprise data, semantic models, and cloud services to deliver scalable, secure, and Responsible AI solutions.

Key Responsibilities

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

Technical Requirements

• Hands-on experience with Gemini, Vertex AI, and Agent Builder.
• Strong proficiency in Python, SQL, and API integration.
• Experience building AI Agents, Multi-Agent Systems, and RAG architectures.
• Knowledge of vector databases, embeddings, and semantic search.
• Experience with BigQuery, Cloud Run, Cloud Functions, and other GCP services.
• Familiarity with Looker, semantic layers, and enterprise data warehouse architectures.
• Experience with AI orchestration frameworks such as LangChain, LangGraph, or Google ADK.
• Understanding of Responsible AI, AI governance, security, and model evaluation.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.