Senior AI Data Engineer

Overview

Senior AI Data Engineer leading the design, development, and optimization of enterprise data platforms and pipelines for scalable AI, machine learning, and Generative AI solutions.

What you'll do

• Design, build, and maintain scalable cloud-native data platforms for enterprise AI and Agentic AI applications.
• Lead development of robust batch and real-time data pipelines for AI training, feature engineering, inference, and analytics.
• Build and optimize data architectures for LLMs, RAG, embeddings, vector databases, and AI knowledge repositories.
• Develop reusable data products, feature stores, metadata services, and data APIs to accelerate AI development.
• Ensure data quality using automated validation, profiling, lineage, observability, and monitoring.
• Implement data governance, security, privacy, and compliance controls aligned with enterprise standards.
• Design resilient, fault-tolerant data pipelines using modern orchestration and event-driven architectures.

What you'll need

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.
• Significant experience designing and implementing enterprise-scale data engineering solutions for AI/ML workloads.
• Strong proficiency in Python, SQL, Spark, and distributed data processing frameworks.
• Experience building cloud-native data platforms using AWS, Azure, or Google Cloud Platform.
• Hands-on experience with data lakes, Lakehouse architectures, data warehouses, and object storage.
• Experience with streaming technologies such as Kafka, Kinesis, or Azure Event Hubs.
• Strong knowledge of workflow orchestration tools such as Apache Airflow, Azure Data Factory, or similar platforms.

Details

• Location: Pune, India.