Azure AI Platform Engineer: Generative AI & Multi-Agent

Kyndryl; Hoofddorp; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work culture

Job summary

Kyndryl is accelerating its AI and ML capabilities to deliver secure, scalable digital solutions on Microsoft Azure. We seek an experienced AI/ML Engineer to design, build and operationalize a central AI Platform with AI SDKs, data masking, PII detection, and document intelligence.

You will integrate Azure AI services with DevOps practices to ensure performance and governance. You will collaborate with Data Science, Cloud Engineering and DevOps teams to implement observability, monitoring and

Qualifications

• Proven experience designing and deploying Generative AI and AI/ML solutions on Azure.
• Experience building Multi-Agent platforms and workflows.
• Hands-on with serverless compute and Databricks on Azure.
• Strong Python, PySpark and SQL for data engineering and model integration.

Responsibilities

• Design and operationalize a central AI Platform and supporting capabilities.
• Develop AI SDK, data masking, PII detection, and document intelligence components.
• Build and maintain CI/CD pipelines for AI and Databricks workloads.
• Ensure observability, reliability, and cost efficiency of serverless and Databricks services.
• Collaborate with Data Science, Cloud Engineering and DevOps teams as a consulting expert.

Skills

Generative AI

LLM / LMM

Python

PySpark

SQL

CI/CD / MLOps

Cloud cost management

Security & compliance

Observability

Tools

Docker

Kubernetes

Azure Databricks

Azure Functions

Event Grid

Logic Apps

Terraform

Azure DevOps

Job description

Kyndryl is accelerating its AI and ML capabilities to deliver secure, scalable digital solutions on Microsoft Azure. We seek an experienced AI/ML Engineer to design, build and operationalize a central AI Platform with AI SDKs, data masking, PII detection, and document intelligence.

You will integrate Azure AI services with DevOps practices to ensure performance and governance. You will collaborate with Data Science, Cloud Engineering and DevOps teams to implement observability, monitoring and