Google Agentic AI Engineer
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
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.
- 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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