AI Platform Engineer

September 13, 2026

Office

Senior

Hoofddorp

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Office-only work

Description

Kyndryl is modernising its Azure AI platform to deliver secure, scalable AI solutions. The AI Platform Engineer will design, build and operate serverless Databricks environments and CI/CD pipelines, ensuring compliance and performance. The role bridges data science, cloud engineering and DevOps to operationalise AI models at enterprise scale.

Responsibilities

Design and assess serverless compute architectures for AI workloads
Implement scalable Azure Databricks serverless environments
Develop and maintain CI/CD pipelines in Azure DevOps for AI and Databricks workloads
Ensure reliability, observability and monitoring of serverless services
Collaborate with Data Science, Cloud Engineering and DevOps teams as an independent expert
Provide consultancy, technical alignment and best practices for operationalising AI models
Implement data masking, PII detection and document intelligence capabilities

Requirements

Proven experience designing and deploying AI/ML solutions on Microsoft Azure
Deep knowledge of Azure Databricks architecture, including serverless compute
Hands‑on experience with serverless services such as Azure Functions, Event Grid and Logic Apps
Strong programming skills in Python, PySpark and SQL for data engineering
Expertise in CI/CD, MLOps and Infrastructure‑as‑Code using Azure DevOps and Terraform
Understanding of cloud cost management, scaling strategies and workload optimisation
Familiarity with enterprise security, data protection and compliance for AI workloads

Conditions

Hybrid‑friendly work culture supporting well‑being and continuous learning
Access to certifications from Microsoft, Google and Amazon
Opportunities for career growth through coaching and hands‑on projects
Inclusive environment encouraging diversity and belonging

AzureDatabricksPythonPySparkSQLTerraformAzure DevOpsCI/CDMLOpstechnology services

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