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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 experience in platform engineering, AI/ML operationalization, and designing scalable cloud-native solutions.
  • Hands-on expertise with Azure services, Azure DevOps repositories and pipelines, and continuous integration/continuous delivery practices.
  • Proficiency in containerization and orchestration technologies, specifically Docker and Azure Kubernetes Service.
  • Deep understanding of governance, security-by-design, and compliance requirements, ideally within a banking or highly regulated environment.
  • Experience building software development kits, AI accelerators, and reusable templates to enable development teams.
  • Solid background working with modern data platforms and cataloging tools such as Databricks and Unity Catalog.
  • Strong communication and collaboration skills to align cross-functional teams on architectural standards.
  • Familiarity with modern development environments and AI-assisted coding tools, such as Visual Studio Code with Copilot.
  • Experience with security, artifact management, and vulnerability scanning tools such as Nexus and Twistlock.
  • Knowledge of emerging AI trends, including agentic AI and complex machine learning system architectures.
  • Previous experience defining or implementing Developer Experience strategies to reduce engineering friction.

Responsibilities

  • Define and maintain AI architecture standards and reference architectures aligned with enterprise guidelines for monitoring, networking, security-by-design, privacy, and auditability.
  • Prototype emerging AI implementation patterns and translate them into standardized, reusable enterprise platform services.
  • Design and develop shared AI capabilities, cross-cutting concerns such as observability and access management, software development kits, templates, and reference implementations for machine learning, agentic AI, and AI systems.
  • Collaborate with architecture, security, risk, and data governance teams to align platform capabilities with regulatory and compliance requirements.
  • Shape, maintain, and implement the long-term AI developer experience to reduce friction for engineering teams building AI applications.
  • Drive adoption of Machine Learning and Artificial Intelligence As a Platform capabilities across various domains.
  • Design scalable cloud-native solutions and implement continuous integration/continuous delivery pipelines alongside advanced platform automation.
  • Develop robust integrations between AI services, Azure Kubernetes Service, and other supporting platforms.

Desired Qualifications

  • Familiarity with modern development environments and AI-assisted coding tools, such as Visual Studio Code with Copilot.
  • Experience with security, artifact management, and vulnerability scanning tools such as Nexus and Twistlock.
  • Knowledge of emerging AI trends, including agentic AI and complex machine learning system architectures.
  • Previous experience defining or implementing Developer Experience strategies to reduce engineering friction.

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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