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.
עיקרי התפקיד
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.
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.
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: Implement rigorous data quality frameworks, validation rules, and automated testing loops to ensure pristine data delivery.
Collaborative Leadership: Work directly alongside architects, software engineers, and data scientists in rapid innovation cycles to translate business needs into data infrastructure.
Progress to production: Build, deploy, and maintain the CI/CD pipelines for our data infrastructure, ensuring that our context window remains fresh and reliable.
Your Future at Kyndryl
The career path ahead is full of exciting opportunities to grow and advance within the job family. With dedication and hard work, you can climb the ladder to higher bands, achieving coveted positions such as Principal Engineer or Vice President of Software. These roles not only offer the chance to inspire and innovate, but also bring with them a sense of pride and accomplishment for having reached the pinnacle of your career in the software industry.
דרישות
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.
Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
6-8+ years in software engineering, AI Data solutions, with experience delivering enterprise-grade implementations and exposure to customer-facing consulting roles.
Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes.
Experience in data pipelines development and tooling (e.g., Glue, Databricks, Synapse, or Dataproc) and experience with both relational and NoSQL databases (e.g., PostgreSQL, DB2, MongoDB).
Strong programming skills in SQL, Python, and experience with ETL/ELT tools (Airflow, dbt, Kafka).
Expertise in data modeling, distributed systems, and cloud-native platforms (AWS, Azure, GCP).
Familiarity with data governance, lineage, and observability tools (DataHub, Great Expectations).
Experience with vector databases and feature store design for AI/ML workflows.
Ability to troubleshoot complex data issues and optimize performance.
יתרון
Background in regulated industries or environments with stringent compliance requirements.
Knowledge of containerization and orchestration (Docker, Kubernetes).
Experience with CI/CD for data workflows, version control, and Agile methodologies.
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.
Being You
The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.
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’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.
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.