> Markdown version of [/jobs/ext/2923316-ai-systems-architect](https://www.wearedevelopers.com/jobs/ext/2923316-ai-systems-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Ai Systems Architect - **Company:** Kyndryl - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Cloud Engineering, Continuous Integration, Python (Programming Language), Cloud Services, Graphics Processing Unit (GPU), Enterprise Software Applications, Cloud Platform System, Large Language Models, Multi-Agent Systems, Kubernetes, Machine Learning Operations, Virtual Agents - **Published:** September 15, 2026 - **Apply:** https://www.buscojobs.com.es/ai-systems-architect-en-madrid-ID-370900785 ## About the Role platforms or enterprise software architectures - Strong hands-on experience with Agentic AI architectures, orchestration, tool integration, memory, evaluation, and guardrails - Experience with agent frameworks such as LangGraph, CrewAI, Semantic Kernel, or AutoGen - Strong Python software engineering skills - Expertise in Kubernetes, containers, Infrastructure as Code, and cloud-native architectures - Understanding of AI infrastructure (GPUs, model serving, AI gateways, observability) - Experience designing developer platforms and reusable services - Professional proficiency in English and SpanishRequisitos principales - hybrid-friendly culture - Be Well programs (financial, mental, physical, social health) - career growth and personalized development goals - access to certifications with Microsoft, Google, and Amazon - coaching and hands-on experiences - supportive learning environment ## Description Experteer Overview As AI Systems Architect, you will design and evolve an enterprise-scale Agentic AI platform to enable engineering teams to build, deploy, and operate production-ready AI agents securely and governably.You will shape reusable runtimes, governance, and developer experience to scale across the organization.The role emphasizes platform architecture, cross-functional collaboration, and driving enterprise adoption of AI best practices.You will work on high-impact problems at scale, enabling smarter decision making and faster innovation.Compensaciones / Beneficios - Architect a reusable enterprise Agentic AI platform (runtime, orchestration, context management, memory, evaluation, guardrails, observability) - Develop and maintain an Agent Harness with MCP integration - Define Golden Paths to standardize AI agent development and deployment - Build a model-agnostic AI runtime supporting multiple LLM providers and enterprise integrations - Collaborate with infrastructure teams on Kubernetes, GPU platforms, networking, and cloud-native AI infra - Establish enterprise AI governance (policy, security, prompt/model lifecycle, human-in-the-loop, evaluation, cost) - Integrate AI agents with enterprise platforms (CI/CD, ITSM, observability, cloud services, business apps) - Define engineering standards and mentor teams to drive enterprise adoption of Agentic AI practicesResponsabilidades - 5+ years designing cloud-native platforms or enterprise software architectures - Strong hands-on experience with Agentic AI architectures, orchestration, tool integration, memory, evaluation, and guardrails - Experience with agent frameworks such as LangGraph, CrewAI, Semantic Kernel, or AutoGen - Strong Python software engineering skills - Expertise in Kubernetes, containers, Infrastructure as Code, and cloud-native architectures - Understanding of AI infrastructure (GPUs, model serving, AI gateways, observability) - Experience designing developer platforms and reusable services - Professional proficiency in English and SpanishRequisitos principales - hybrid-friendly culture - Be Well programs (financial, mental, physical, social health) - career growth and personalized development goals - access to certifications with Microsoft, Google, and Amazon - coaching and hands-on experiences - supportive learning environment ## Related Videos - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)