Agentic AI Engineer

🔥 16 hours ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

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

🎯 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