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Kyndryl

AI & Platform Engineering Architect – IT Operations

  • Madrid HQ (KES51610) · Remote
  • Full-time
  • Posted

Skills

  • CI/CD
  • Kubernetes
  • Large Language Models
  • Microsoft Azure
  • Operations

Job description

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

Your role

What if you could redesign the way one of the largest IT environments in Spain is operated using AI?

We are looking for an AI & Platform Engineering Architect to help us transform IT Operations from traditional automation towards an AI-enabled, increasingly autonomous operating model .

This is not a pure Enterprise Architecture role and it is not an AI research position.

You will work at the intersection of Artificial Intelligence, Platform Engineering, SRE, Observability and IT Operations , designing solutions that can move from an idea or prototype into production and operate reliably at enterprise scale.

You will join a large managed-services environment covering hybrid cloud, on-premises infrastructure, Kubernetes platforms, CI/CD, observability, SRE and 24x7 operations , working alongside Platform Engineers, SREs, Operations teams, architects and AI developers.

Your mission will be simple to describe, but challenging to execute:

Use AI and modern platform engineering to fundamentally change how IT operations are delivered.

What you will do

Architect AI for IT Operations

Identify where Generative AI and Agentic AI can create real operational value and turn those opportunities into production architectures.

Design AI agents and intelligent workflows capable of supporting areas such as:

•Incident detection, investigation and resolution
•Root Cause Analysis
•Event correlation and operational intelligence
•SRE and troubleshooting
•Observability analysis
•Capacity and performance management
•Knowledge management
•Change and problem management
•Operational automation and remediation
•Infrastructure and platform lifecycle management

You will help us evolve from AI assisting operators towards AI agents collaborating with operational teams and automating selected operational activities safely .

Connect AI with the real IT environment

AI cannot operate in isolation.

You will design integrations between AI capabilities and enterprise platforms such as:

•Observability and monitoring platforms
•ITSM and operational workflows
•Kubernetes and container platforms
•Cloud and on-premises infrastructure
•CI/CD platforms
•Infrastructure as Code
•Configuration and asset information
•Logs, metrics, traces and operational data
•Automation and orchestration platforms

You will define how AI agents access tools, data and operational systems while maintaining appropriate security, identity, auditability and guardrails .

Shape our AI & Platform Engineering architecture

Work closely with our AI & Platform Factory, Platform Engineering teams, SREs, Observability teams and Operations organization to define reusable architectural patterns.

You will contribute to:

•Agentic AI architectures
•AI orchestration frameworks
•Enterprise AI platforms
•AI gateways and model access
•LLM and model integration
•RAG and operational knowledge architectures
•Tool/API integration
•Model and agent observability
•Evaluation frameworks
•AI security and governance
•Hybrid-cloud AI architectures
•Reusable AI services for operational teams

Our objective is not to create isolated AI demos.

We want to build repeatable capabilities that become part of the way IT is operated .

Bring Platform Engineering principles into Operations

Help evolve our Cloud and On-premises platforms using Platform Engineering principles.

You will work with engineering teams to define:

•Reusable platform services
•Infrastructure as Code patterns
•Kubernetes-based architectures
•CI/CD and GitOps approaches
•Developer and operator self-service
•Platform APIs
•Golden paths
•Observability by design
•Reliability and resilience patterns

You should be comfortable discussing architecture with senior stakeholders while also being able to work directly with engineers on how that architecture can actually be implemented.

Turn prototypes into production

One of the biggest challenges in enterprise AI is moving beyond the Proof of Concept.

You will help ensure that AI solutions are designed from the beginning for:

•Production reliability
•Scalability
•Security
•Observability
•Maintainability
•Cost efficiency
•Human oversight
•Responsible AI
•Operational support

You will be expected to challenge ideas that look impressive in a demo but cannot survive in a production environment.

Who You Are

What we are looking for

We are looking for a senior technology architect with a strong engineering mindset .

You probably have a background in one or several of these areas:

Platform Engineering, Cloud Architecture, SRE, DevOps, Infrastructure Architecture, Software Architecture or IT Operations , and have subsequently developed strong experience in AI.

Core experience

•Strong architecture experience in large enterprise IT environments
•Platform Engineering and/or SRE experience
•Cloud-native and hybrid-cloud architectures
•Kubernetes platforms such as AKS or OpenShift
•Infrastructure as Code
•CI/CD and DevSecOps
•Observability: metrics, logs, traces and operational telemetry
•APIs and integration architectures
•Automation and orchestration
•Production IT operations

AI experience

Hands-on understanding of modern AI architectures, ideally including several of the following:

•Generative AI / Large Language Models
•Agentic AI
•AI agent orchestration
•RAG architectures
•Tool calling and API integration
•AI evaluation
•Prompt and context engineering
•AI observability
•Guardrails and Responsible AI
•Model gateways and enterprise model access

Experience with technologies such as Azure AI Foundry / Azure OpenAI, Google Vertex AI, LangGraph or equivalent frameworks is valuable, although we care more about your ability to design the right architecture than about a particular product.

Engineering mindset

You do not need to spend every day coding, but you should be technically deep enough to:

•Discuss implementation decisions with engineers
•Review architectures and prototypes
•Understand APIs and code
•Understand Kubernetes workloads
•Understand CI/CD pipelines and Infrastructure as Code
•Diagnose architectural and operational limitations
•Build or contribute to prototypes when necessary

The kind of person we are looking for

You enjoy solving problems where there is no existing playbook.

You can move comfortably between a conversation with a CTO and a whiteboard session with engineers.

You understand that AI without operational context is just a chatbot , and that production AI requires architecture, engineering, observability, security and governance.

You are curious about emerging AI technologies but pragmatic about what should actually be deployed.

And most importantly, you want to help define how AI will change the way large-scale IT environments are operated over the next few years .

Why this role is different

You will not be joining a team to maintain an existing AI platform.

You will help design what the AI-enabled operating model should become .

You will work across AI, Platform Engineering, SRE, Observability and Operations in a complex enterprise environment where the solutions you design can have a direct impact on thousands of infrastructure components and critical business services.

If you want to work on real-world Agentic AI for IT Operations at enterprise scale , we would like to hear from you.

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 requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.

What You Can Expect

Your career with us isn’t just a job—it’s an adventure with purpose.  We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.

From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.

We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.

We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

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