AI Data Engineer

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.

Additional Information

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.

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Company Intel

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