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Kyndryl

Managed IT infrastructure and cloud services

AI & Platform Engineering Architect - IT Operations

Platform EngineeringUpdated on Nov 11
Full-timeMadrid, SpainNo salary listed

About the Job

Requirements

  • Strong architecture experience in large enterprise IT environments.
  • Platform Engineering and/or SRE experience.
  • Experience with cloud-native and hybrid-cloud architectures.
  • Experience with Kubernetes platforms such as AKS or OpenShift.
  • Experience with Infrastructure as Code.
  • Experience with CI/CD and DevSecOps.
  • Experience with observability, including metrics, logs, traces and operational telemetry.
  • Experience with APIs and integration architectures.
  • Experience with automation and orchestration.
  • Experience with production IT operations.
  • Hands-on understanding of modern AI architectures, ideally including Generative AI and 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, and model gateways and enterprise model access.
  • Technical depth 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, and build or contribute to prototypes when necessary.

Responsibilities

  • Identify opportunities for Generative AI and Agentic AI to create operational value and turn them into production architectures.
  • Design AI agents and intelligent workflows for 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; and infrastructure and platform lifecycle management.
  • Help evolve from AI assisting operators toward AI agents collaborating with operational teams and safely automating selected operational activities.
  • Design integrations between AI capabilities and 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, and automation and orchestration platforms.
  • Define how AI agents access tools, data and operational systems while maintaining security, identity, auditability and guardrails.
  • Work with the AI and Platform Factory, Platform Engineering teams, SREs, Observability teams and Operations organization to define reusable architectural patterns.
  • 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, and reusable AI services for operational teams.
  • 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, and reliability and resilience patterns.
  • Help ensure AI solutions are designed for production reliability, scalability, security, observability, maintainability, cost efficiency, human oversight, Responsible AI and operational support.
  • Challenge ideas that appear impressive in a demonstration but cannot survive in a production environment.
  • Work across AI, Platform Engineering, SRE, Observability and Operations to design solutions for large-scale IT environments.

Desired Qualifications

  • Experience with technologies such as Azure AI Foundry, Azure OpenAI, Google Vertex AI, LangGraph or equivalent frameworks.

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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