AI Platform Engineer

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 involves Azure Databricks serverless environments, AI SDK development, data masking, PII detection, and integrating Azure AI services with modern DevOps practices.

Technical (Must-have)

• Azure
• Azure Databricks
• Serverless Computing
• Azure Functions
• Event Grid
• Logic Apps
• Python
• PySpark
• SQL
• CI/CD
• MLOps
• Infrastructure as Code
• Azure DevOps
• Terraform
• Mistral AI

Soft Skills

• Collaboration
• Consultancy
• Technical alignment

Key Responsibilities

• Designing and assessing serverless compute architectures for AI workloads.
• Implementing scalable Azure Databricks Serverless environments.
• Developing and maintaining CI/CD pipelines in Azure DevOps for AI and Databricks workloads.
• Ensuring reliability, observability, monitoring, and optimization of Databricks and serverless services.
• Collaborating closely with Data Science, Cloud Engineering, and DevOps teams as an independent expert—providing consultancy, technical alignment, and best practices for operationalizing AI models efficiently.

Azure, Azure Databricks, Serverless Computing, Azure Functions, Event Grid, Logic Apps, Python, PySpark, SQL, CI/CD, MLOps, Infrastructure as Code, Azure DevOps, Terraform, Mistral AI