Azure AI Platform Engineer (Serverless and MLOps)

Slashhash; Noord-Holland; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Kyndryl is seeking an experienced AI/ML Engineer to design, build, and operationalize a central AI Platform on Microsoft Azure as part of a large-scale platform modernization. The role focuses on Azure Databricks serverless environments, AI SDK development, data masking, PII detection, and integrating Azure AI services with modern DevOps practices.

Key responsibilities include designing serverless architectures, implementing scalable Databricks environments, and leading CI/CD pipelines for AI

Qualifications

• Must have strong collaboration and consultancy capabilities with stakeholders.
• Ability to align technical direction with business goals and DevOps practices.
• Experience designing and operating AI platforms on Azure, including serverless components.

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 optimization of Databricks and serverless services.
• Collaborate with Data Science, Cloud Engineering, and DevOps teams as an independent expert.

Skills

Collaboration

Consultancy

Technical alignment

Tools

Azure Databricks

Azure Functions

Event Grid

Logic Apps

PySpark

Terraform

Azure DevOps

Mistral AI

Job description

Kyndryl is seeking an experienced AI/ML Engineer to design, build, and operationalize a central AI Platform on Microsoft Azure as part of a large-scale platform modernization. The role focuses on Azure Databricks serverless environments, AI SDK development, data masking, PII detection, and integrating Azure AI services with modern DevOps practices.

Key responsibilities include designing serverless architectures, implementing scalable Databricks environments, and leading CI/CD pipelines for AI