AI Data Engineer (GenAI / AI Platform)

Brief Summary

We are seeking a skilled AI Data Engineer to design and enhance our data infrastructure, ensuring robust and scalable AI-driven solutions that empower business performance and innovation. Responsibilities

Lead the architecture, operation, and ongoing enhancement of the Data Lake and AI platform. Develop and manage scalable data pipelines utilizing cloud-native technologies. Monitor and ensure data quality, governance, lineage, and platform security. Set standards and best practices for data management processes. Create and deploy AI Agents and GenAI-driven solutions. Implement Retrieval-Augmented Generation architectures to leverage organizational knowledge. Design workflows that streamline business processes and enhance productivity. Assess new AI technologies and propose enhancements to organizational capabilities. Requirements

Bachelor's degree in a relevant field. Proven experience in ETL/ELT pipeline development with strong SQL skills for large datasets. Proficiency in programming with Python or similar languages for backend development. Familiarity with LLMs and RAG architecture. Experience with relational and NoSQL databases. Knowledge of containerization technologies such as Docker and basic understanding of AWS. Strong analytical and problem-solving skills, with the ability to operate in dynamic environments. Experience with CI/CD practices for data applications is advantageous. Familiarity with streaming data technologies and understanding of machine learning workflows is a plus.