Senior AI Data Engineer

- Design, build, and maintain scalable, cloud-native data platforms that support enterprise AI and Agentic AI applications
- Lead the development of robust batch and real-time data pipelines for AI model training, feature engineering, inference, and analytics
- Build and optimize data architectures supporting LLMs, RAG, embeddings, vector databases, and AI knowledge repositories
- Develop reusable data products, feature stores, metadata services, and data APIs that accelerate AI solution development across the enterprise
- Ensure high standards of data quality through automated validation, profiling, lineage, observability, and monitoring
- Optimize data processing performance, scalability, reliability, and cost across distributed cloud environments
- Collaborate with AI Engineers and Data Scientists to prepare production-ready datasets and support model deployment, monitoring, and continuous improvement
- Implement data governance, security, privacy, and compliance controls that align with Mastercard's enterprise standards and regulatory requirements
- Design resilient, fault-tolerant data pipelines using modern orchestration, workflow automation, and event-driven architectures
- Contribute to the implementation of MLOps and AgenticOps capabilities by delivering trusted data pipelines that support automated AI workflows