Senior AI Data Engineer

We are seeking an experienced Senior Data Engineer to lead the development and optimization of data infrastructure supporting our Agentic AI initiatives. As a senior member of the R&DS AI Innovation Program, you will help shape data strategy and ensure our data solutions scale to meet the demanding requirements of next-generation AI systems.

Requirements

• Design, develop, and maintain scalable data pipelines and ETL processes supporting AI research and development.
• Design and maintain scalable data models for analytics, ML training, and agent workflows.
• Collaborate with AI scientists and engineers to gather data requirements and ensure availability and quality.
• Implement data governance and security measures to protect sensitive information.
• Establish observability, lineage tracking, and monitoring frameworks to detect anomalies, freshness issues, and operational failures.
• Implement data partitioning, indexing, and storage optimization techniques for large-scale AI datasets.
• Monitor and troubleshoot data pipeline issues to ensure continuity and reliability.
• Stay current with emerging data engineering and AI technologies.
• Drive data platform reliability, scalability, and cost optimization across cloud-based infrastructure.
• Design and implement scalable, resilient data architectures for AI agent training, fine-tuning, and inference workflows.
• Build streaming and event-driven pipelines enabling real-time agent feedback, telemetry, and adaptive learning.
• Develop and maintain high-performance pipelines using modern orchestration frameworks to support real-time agent interactions.
• Create specialized storage and retrieval systems for vector embeddings, knowledge graphs, and symbolic reasoning components.
• Implement automated data validation, schema testing, and quality checks ensuring reliable AI training datasets.
• Implement comprehensive monitoring and governance frameworks ensuring high-quality training data and compliance with privacy regulations.
• Continuously optimize system performance with a focus on reducing latency for agent decision-making.

Benefits

• Potential base pay range: 155,600,00 zł – 289,200,00 zł
• Incentive plans, bonuses, and/or other forms of compensation
• Range of health and welfare and/or other benefits