Kyndryl
Join Kyndryl as a
Agentic AI - Data Engineer .
We design, build, manage and modernize mission‑critical technology systems that the world depends on. Kyndryl is committed to building an equitable, inclusive world for our employees, customers and communities.
The Role As an Agentic AI Data Engineer you will design and implement scalable, high‑performance data platforms and pipelines that power enterprise AI and analytics capabilities. You will collaborate with architects, software engineers, and data scientists to deliver robust, governed, and actionable data solutions.
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.
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
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.
Compensation The compensation range for the position in the U.S. is $110,880 to $210,600 based on a full‑time schedule. Actual compensation may vary by geography, job‑related skills and experience. Part‑time roles will be adjusted appropriately. The pay or salary range will not be below any applicable minimum wage requirement.
We also provide a comprehensive benefits package including medical, dental, disability, retirement benefits, paid leave, and paid time off. Eligibility for a discretionary annual bonus program and a sales commission plan may apply.
Applications will be accepted on a rolling basis.
How to Apply We welcome referrals. If you know someone working at Kyndryl, select “Employee Referral” during the application and enter their Kyndryl email address.
Diversity and Inclusion Diversity is more than appearance; it’s how we think and who we are. Kyndryl welcomes people of all cultures, backgrounds, and experiences. Inclusion networks and equitable culture initiatives support every employee.
#J-18808-Ljbffr
Agentic AI - Data Engineer .
We design, build, manage and modernize mission‑critical technology systems that the world depends on. Kyndryl is committed to building an equitable, inclusive world for our employees, customers and communities.
The Role As an Agentic AI Data Engineer you will design and implement scalable, high‑performance data platforms and pipelines that power enterprise AI and analytics capabilities. You will collaborate with architects, software engineers, and data scientists to deliver robust, governed, and actionable data solutions.
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.
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
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.
Compensation The compensation range for the position in the U.S. is $110,880 to $210,600 based on a full‑time schedule. Actual compensation may vary by geography, job‑related skills and experience. Part‑time roles will be adjusted appropriately. The pay or salary range will not be below any applicable minimum wage requirement.
We also provide a comprehensive benefits package including medical, dental, disability, retirement benefits, paid leave, and paid time off. Eligibility for a discretionary annual bonus program and a sales commission plan may apply.
Applications will be accepted on a rolling basis.
How to Apply We welcome referrals. If you know someone working at Kyndryl, select “Employee Referral” during the application and enter their Kyndryl email address.
Diversity and Inclusion Diversity is more than appearance; it’s how we think and who we are. Kyndryl welcomes people of all cultures, backgrounds, and experiences. Inclusion networks and equitable culture initiatives support every employee.
#J-18808-Ljbffr