Agentic AI - Data Engineer

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

As an Agentic AI Data Engineer at Kyndryl, you’ll design and implement scalable, high-performance data platforms and pipelines that power enterprise AI and analytics capabilities. This role combines deep technical expertise with hands-on development, enabling seamless data flow for Agentic AI frameworks and next-generation automation.

You’ll work in a true builder’s environment, collaborating with architects, software engineers, and data scientists to deliver robust, governed, and actionable data solutions. Expect rapid innovation cycles, autonomy, and the opportunity to shape data infrastructure for cutting-edge AI systems.

What You’ll Do

• Design and optimize ETL/ELT pipelines and data models for structured and unstructured data.
• Build scalable architectures supporting batch and real-time processing across cloud and on-prem environments.
• Implement data quality frameworks, governance policies, and validation rules.
• Develop API endpoints and integrations for AI agents to access structured information.
• Manage vector databases and semantic layers for AI-driven search and contextual grounding.
• Collaborate with cross-functional teams to deliver data solutions aligned with business and AI needs.
• Mentor junior engineers and champion best practices in DataOps and pipeline orchestration.

#AgenticAI

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies.  Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment.

Who You Are

Who You Are
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.

Required Skills and Experience

• 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.

Preferred Skills and Experience

• Background in regulated industries or environments with stringent compliance requirements.
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Familiarity with semantic modelling, metadata management, and emerging AI/ML data integration patterns.
• Experience with CI/CD for data workflows, version control, and Agile methodologies.

Why Join Us

• Work on the next frontier: build data infrastructure for Agentic AI, a transformative technology.
• Startup energy and enterprise scale: agile innovation backed by global resources.
• Direct impact: your work enables AI-native transformation at enterprise scale.
• Career Growth: Opportunity to lead and innovate in data engineering for AI systems.

The compensation range for the position in the U.S. is $110,880 to $210,600 based on a full-time schedule.

Your actual compensation may vary depending on your geography, job-related skills and experience.  For part time roles, the compensation will be adjusted appropriately. The pay or sala