Google Agentic AI Engineer
Capgemini
- Location
- Remote (Bogota, RAP (Especial) Central)
- Employment
- Full-time
- Level
- Senior Level
About the Role
Capgemini Engineering seeks an AI Engineer to design and deploy enterprise AI agents and multi-agent solutions using the Google AI ecosystem. The role focuses on delivering scalable, secure, and Responsible AI solutions by integrating agents with enterprise data and cloud services.
Skills
Perks
- Remote Work
Full job details
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 most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide 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 are the 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.
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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.