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Job Description
Job Objective
Design, develop, implement, and operate enterprise solutions based on Generative Artificial Intelligence, Machine Learning, and Intelligent Automation on Microsoft Azure. You will be responsible for building scalable AI components, integrating foundational models and cognitive services with enterprise applications, and ensuring the secure, efficient, and governed operation of solutions in production environments.
Main Responsibilities
AI Solution Development
- Design and implement applications based on Generative AI and Large Language Models (LLM).




- Build enterprise copilots, virtual assistants, and intelligent agents.
- Develop semantic search and Retrieval-Augmented Generation (RAG) solutions.
- Implement reasoning, orchestration, and automation mechanisms using AI agents.
- Integrate AI services with enterprise applications, APIs, and data platforms.

Data Engineering for AI
- Design data ingestion, transformation, and enrichment pipelines.
- Implement knowledge indexing and vectorization strategies. Manage structured and unstructured knowledge repositories.
- Ensure the quality, consistency, and traceability of data used by AI models.

Implementation and Operation
- Deploy solutions using Azure managed services.
- Implement LLMOps, MLOps, and DevSecOps best practices.
- Monitor the performance, costs, accuracy, and adoption of solutions.
- Manage versions of AI prompts, models, and components.

Quality and Security
- Apply Responsible AI

📌 AI Engineer (Bogotá)
🏢 Capgemini Engineering
📍 Bogotá