Overview

Your role As an AI Data Engineer at Kyndryl, you'll be the architect behind the high-performance data infrastructure that powers our autonomous systems.

Responsibilities

• As an AI Data Engineer at Kyndryl, you'll be the architect behind the high-performance data infrastructure that powers our autonomous systems. We aren't just moving tables we're building the real-time pipelines that allow agentic AI to reason over the world's most complex enterprise environments.
• Join Kyndryl and gain the trust, autonomy and teamwork to help define what comes next.
• Orchestrate Intelligence
• .Architect for RAG: You'll 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: You will be 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.
• .Automate data excellence: Using a keen eye for detail, you'll build automated data guardrails to detect noise, bias, or PII (Personally Identifiable Information) before it reaches the model, ensuring our AI remains safe and impactful.
• Own the Backbone
• .Solve meaningful challenges: Serve as the bridge between raw, messy data sources and deep technical AI work, identifying and resolving quality issues at the source.
• .Progress to production: With a well-defined methodology and software engineering prowess, you will build, deploy, and maintain the CI/CD pipelines for our data infrastructure, ensuring that our context window remains fresh and reliable.

Qualifications

• .Expertise in ELK (ElasticSearch, Logstash, Kibana)
• .Expertise in Phython
• .Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes
• .Excellent problem-solving, analytical, and critical thinking skills
• .Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
• .Ability to communicate with both technical and non-technical colleagues, to derive and translate technical requirements from business needs
• Preferred skills and experience
• .Professional certification, e.g. Open Certified Technical Specialist with Data Engineering Specialization
• .Cloud platform certification, e.g. AWS Certified Data Analytics - Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
• .Understanding of social coding and Integrated Development Environments, e.g. GitHub and Visual Studio
• .Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
• What You Can Expect
• Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.
• From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
• We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact Join us and help shape what's next.
• Get Referred!
• If you know someone that works at Kyndryl, when asked How Did You Hear About Us during the application process, select Employee Referral and enter your contact's Kyndryl email address.