Agentic AI Data Engineer

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role Your role: As an Agentic AI Data Engineer, you will serve as the core architect behind high-performance data platforms that drive enterprise AI. In this role, you will construct and fine-tune data pipelines, vector databases, and semantic structures, empowering autonomous agents to seamlessly access and analyze complex corporate data. What you will do: Architect & Build: Design and optimize scalable ETL/ELT pipelines supporting both batch and real-time processing across hybrid cloud environments. Architect for RAG : Design and scale the pipelines for Retrieval-Augmented Generation (RAG), transforming massive volumes of unstructured IT logs and documentation into optimized Vector Embeddings. Scale vector infrastructure : Responsible for the health and performance of our vector databases (e.g., Pinecone, Milvus, or Weaviate), ensuring sub-second retrieval speeds for agentic reasoning loops. Master Data Transformation • Engineer semantic layers: Move beyond simple ETL to build knowledge graphs and semantic layers that provide agents with the necessary context to navigate complex infrastructure puzzles. AI Grounding Infrastructure: Deploy and manage vector databases and semantic layers tailored for high-context AI search and retrieval-augmented generation (RAG). Integration & APIs: Develop secure, high-throughput API endpoints enabling autonomous agents to seamlessly access structured and unstructured datasets. Data Governance & Quality: Im