AI Platform Engineer Capabilities

Kyndryl; Hoofddorp; On-site; EUR 90,000 - 130,000; Full time

Job summary

Kyndryl Inc. is seeking an AI Platform Engineer to transform best practices into scalable platform services, SDKs, templates, and governance patterns across domains. You will enable secure, compliant AI solutions in a highly regulated environment, focusing on governance, security, and scalability.

You will collaborate with security, risk, and data governance teams and shape the developer experience to reduce engineering friction while driving enterprise-wide AI adoption.

Qualifications

• Strong experience in platform engineering and AI/ML operationalization.
• Hands-on with Azure Services, Azure DevOps, and CI/CD practices.
• Proficiency with Docker and AKS for container orchestration.
• Deep governance, security-by-design, and compliance knowledge in regulated settings.
• Experience building SDKs, AI accelerators, and reusable templates.
• Experience with Databricks and Unity Catalog for data governance.

Responsibilities

• Define and maintain AI architecture standards aligned with enterprise guidelines.
• Prototype AI implementation patterns into standardized platform services.
• Design and develop shared AI capabilities, SDKs, templates, and reference implementations.
• Collaborate with architecture, security, risk, and data governance teams.
• Shape and implement long-term AI developer experience (DevEx).
• Drive adoption of MAAP capabilities across domains.
• Design scalable cloud-native solutions with CI/CD pipelines and automation.
• Develop integrations between AI services and AKS and supporting platforms.

Skills

Platform engineering

AI deployment

Cloud-native design

Governance & security-by-design

SDK development

Data platforms (Databricks)

Cross-functional collaboration

DevEx awareness

Tools

Azure DevOps (Repos/Pipelines)

Docker

Azure Kubernetes Service (AKS)

Databricks

Unity Catalog

Nexus/Twistlock

Job description

In Person

Hoofddorp, North Holland, Netherlands

Full time

R-70146

Who We Are

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

The Role

As an AI Platform Engineer, you will transform community best practices and lessons learned from real AI implementations into standardized platform services, SDKs, templates, developer journeys, architectural blueprints, and governance patterns that can be reused across domains. You will play a crucial role in building the foundation for scalable, secure, and compliant AI solutions within a highly regulated environment.

You are passionate about AI and platform engineering, with a strong focus on governance, security, and scalability. By understanding that strict compliance is critical for well-designed implementations in the banking sector, you will leverage your clear communication, collaborative nature, and goal-focused flexibility to reduce friction for engineering teams and drive enterprise-wide AI adoption.

What You Will Do

• Define and maintain AI architecture standards and reference architectures in line 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 (e.g., observability, access management), SDKs, templates, and reference implementations for ML, agentic AI, and AI systems.
• Collaborate with architecture, security, risk, and data governance teams to align platform capabilities with strict regulatory and compliance requirements.
• Shape, maintain, and implement the long-term AI developer experience (DevEx) to reduce friction for engineering teams building AI applications.
• Drive the adoption of Machine Learning and Artificial Intelligence As a Platform (MAAP) capabilities across various domains.
• Design scalable cloud-native solutions and implement CI/CD pipelines alongside advanced platform automation.
• Develop robust integrations between AI services, Azure Kubernetes Service (AKS), and other supporting platforms.

Your Future at Kyndryl

Becoming an AI Platform Engineer at Kyndryl is an excellent gateway to many different paths. You'll be creating a well-rounded skillset while gaining professional certifications and qualifications. You can evolve horizontally into other technical or non-technical areas, or move vertically into senior leadership or specialized domain roles. There are many different types and flavors of roles at Kyndryl, so everyone can find the opportunity that suits them best.

Who You Are

You're good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you're open and borderless – naturally inclusive in how you work with others.

Required Skills and Experience

• Strong experience in platform engineering, AI/ML operationalization, and designing scalable cloud-native solutions.
• Hands-on expertise with Azure Services, Azure DevOps (Repositories/Pipelines), and continuous integration/continuous delivery (CI/CD) practices.
• Proficiency in containerization and orchestration technologies, specifically Docker and Azure Kubernetes Service (AKS).
• Deep understanding of governance, security-by-design, and compliance requirements, ideally within a banking or highly regulated environment.
• Experience building Software Development Kits (SDKs), 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 effectively align cross-functional teams (security, risk, data governance) on architectural standards.

Preferred Skills and Experience

• Familiarity with modern development environments and AI-assisted coding tools, such as VS Code with Copilot.
• Experience with security, artifact management, and vulnerability scanning tools like Nexus and Twistlock.
• Knowledge of emerging AI trends, including Agentic AI and complex ML system architectures.
• Previous experience defining or implementing Developer Experience (DevEx) strategies to reduce engineering friction.

Being You

The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every