AI Data Engineer: Real-Time Data & RAG Pipelines

Kyndryl; Monterrey; Híbrido; MXN 350.000 - 550.000; Jornada completa

Descripción de la vacante

Kyndryl is seeking an AI Data Engineer to architect high‑performance data infrastructure powering autonomous systems. You’ll design real‑time pipelines, transform large IT logs into vector embeddings, and ensure rapid, reliable reasoning.

You will own data transformation, build semantic layers, guardrails for noise/PII, and deploy CI/CD for data infrastructure to keep the context window fresh and trustworthy.

Formación

• Expertise in data mining, data storage and ETL processes.
• Experience in building data pipelines with modern tooling.
• Proficiency with relational and NoSQL databases (PostgreSQL, DB2, MongoDB).
• Strong analytical, problem solving and communication skills.
• Ability to manage multiple projects with attention to detail.

Responsabilidades

• Architect for real-time data infrastructure powering autonomous systems.
• Design and scale retrieval‑augmented generation (RAG) pipelines.
• Build semantic layers and knowledge graphs for contextual AI use.
• Develop CI/CD pipelines for data infrastructure production.

Conocimientos

Data mining

Data storage

ETL processes

Data pipelines

Problem solving

Cross‑functional communication

Educación

Degree in a scientific discipline

Herramientas

Glue

Databricks

Synapse

Dataproc

Descripción del empleo

Kyndryl is seeking an AI Data Engineer to architect high‑performance data infrastructure powering autonomous systems. You’ll design real‑time pipelines, transform large IT logs into vector embeddings, and ensure rapid, reliable reasoning.

You will own data transformation, build semantic layers, guardrails for noise/PII, and deploy CI/CD for data infrastructure to keep the context window fresh and trustworthy.