Artificial Intelligence Data Engineer

Job Title: AI Data Engineer Duration: 6 months contract starting with possibility for extension 100% Remote (India) Fulltime contract 8 hours per day/40 hour per week Introduction: We are seeking an experienced AI Data Engineer to join our dynamic team and play a pivotal role in building and maintaining the AI-ready data foundation that powers agent workflows, analytics, and batch disposition decisioning. This role is critical in enabling data-driven decision-making across the organization by ensuring seamless data ingestion, integration, storage, governance, and enablement across enterprise systems and cloud platforms. The ideal candidate will have a strong background in designing scalable data solutions, leveraging cutting-edge technologies to support AI and analytics initiatives. Roles and Responsibilities: Develop and maintain robust data pipelines integrating multiple enterprise systems such as SAP, gLIMS, Veeva, MODA, AMPS, and Batch Tracker to ensure reliable data flow and accessibility. Design, implement, and optimize Snowflake data models and persistent storage solutions tailored for AI and advanced analytics use cases. Build and manage API and event-driven integrations to support real-time agent workflows and processing requirements. Implement comprehensive data quality management, data lineage tracking, governance frameworks, and continuous monitoring to maintain data integrity and compliance. Enable AI agents and Retrieval-Augmented Generation (RAG) solutions by curating trusted, accessible, and well-governed data assets. Ensure all data solutions are secure, scalable, and compliant with organizational policies and industry regulations. Collaborate with cross-functional teams including data scientists, analysts, and IT to align data engineering efforts with business objectives. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. 6+ years of hands-on experience in data engineering, with a focus on AI and analytics data infrastructure. Proven expertise in Data Modelling, data pipeline development, and ETL processes. Strong programming skills in Python for data processing and automation tasks. Proficiency in writing and optimizing complex SQL queries. Extensive experience working with cloud platforms, especially AWS, including services related to data storage, processing, and security. Hands-on experience with Snowflake for data warehousing and scalable data storage solutions. Familiarity with API development and event-driven architecture to support real-time data workflows. Knowledge of RAG (Retrieval-Augmented Generation) techniques and their data requirements is highly desirable. Strong understanding of data governance, data quality frameworks, and compliance standards. Excellent problem-solving skills, attention to detail, and ability to work collaboratively in a fast-paced environment. Tools and Technologies: Python SQL ETL frameworks and tools AWS (e.g., S3, Lambda, Glue, Redshift) Snowflake API development and integration tools Data governance and monitoring tools Familiarity with RAG implementation frameworks