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Kyndryl

Managed IT infrastructure and cloud services

AI Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeHoofddorp, NetherlandsNo salary listed

About the Job

Requirements

  • Strong Azure platform engineering skills, including deep knowledge of networking, identity and access management (Entra ID), Azure AI Services, and Azure API Management.
  • Proven expertise in generative artificial intelligence, LLM operations (security, governance, cost and token tracking, rate limiting), and core AI concepts including agents, retrieval-augmented generation, prompt engineering, and evaluation.
  • Experience with DevOps best practices, continuous integration and continuous delivery pipelines, and infrastructure as code such as Bicep and Azure DevOps.
  • Solid background in Python for prototyping AI technologies and troubleshooting platform integrations.
  • Hands-on experience designing scalable cloud-native solutions with AKS (Kubernetes).
  • Strong focus on reliability engineering, observability, and monitoring, such as Azure Monitor and Log Analytics, for AI platforms.
  • Architecture skills with awareness of security, governance, and applied systems thinking.

Responsibilities

  • Design and develop scalable AI infrastructure aligned with banking standards, including monitoring, networking, security by design, privacy, and auditability.
  • Prototype emerging AI infrastructure components and features and translate them into robust enterprise standards.
  • Collaborate to align regulatory requirements with enterprise architecture, security, risk, data governance, and platform teams.
  • Support teams consuming the services by applying expertise in infrastructure, AI, and platform engineering.
  • Build templates and reference implementations to facilitate AI infrastructure consumption by developer teams.
  • Design and implement scalable cloud-native solutions using Azure and containerized services.
  • Implement CI/CD pipelines and drive end-to-end platform automation.
  • Develop integrations between AI services, AKS (Kubernetes) services, and supporting data platforms.

Desired Qualifications

  • Familiarity with enterprise data platforms such as Databricks and Unity Catalog.
  • A developer experience (DevEx) mindset for building intuitive developer tools and reference architectures.
  • Experience navigating regulatory requirements and compliance within banking or financial services.
  • Familiarity with AI-assisted development tooling such as Visual Studio Code with Copilot.

About the Company

Kyndryl

Managed IT infrastructure and cloud services

Kyndryl provides managed IT infrastructure services for large enterprises, helping them run and modernize their technology environments. Its offerings cover cloud adoption, cybersecurity, security operations, and digital workplace services, all delivered under long-term managed-service contracts. The company works by partnering with major technology providers (including Microsoft) to offer integrated, end-to-end solutions, often complemented by a new security operations center (SOC) and other security capabilities. This focus sets it apart from competitors through scale, enterprise-grade governance, and a history rooted in IBM’s infrastructure services, now independent but aligned with large technology partners. The goal is to support digital transformation by providing reliable, scalable, and secure infrastructure management that enables enterprises to operate efficiently and securely in a cloud-enabled world.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
2021

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