AI Platform Engineer Capabilities

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 (Dev Ex) 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 Dev Ops (Repositories/Pipelines), and continuous integration/continuous delivery (CI/CD) practices.

Proficiency in…