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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Ai Architect (Agentic Ai) - **Company:** Kyndryl - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Distributed Systems, OpenShift, Azure Machine Learning, Google Cloud, Multi-Agent Systems, Generative AI, AI Platforms, Kubernetes, Machine Learning Operations, Virtual Agents, Databricks - **Published:** July 28, 2026 - **Apply:** https://www.buscojobs.com.es/ai-architect-agentic-ai-en-madrid-ID-364778482 ## About the Role 7+ years designing/delivering large-scale AI/ML architectures in enterprise environments - Proven experience deploying production AI systems and governance - Deep knowledge of AI/ML architectures, cloud-native solutions, and distributed systems - Familiarity with multi-agent frameworks and RAG architectures (LangGraph, CrewAI, AutoGen, Google ADK; LangChain, LlamaIndex) - Experience with at least one major cloud provider (Azure, AWS, GCP) and AI platforms (Azure ML, Vertex AI, OpenShift AI, Databricks) - Solid understanding of MLOps frameworks (MLflow, Kubeflow, Airflow) - Demonstrated leadership to drive architectural direction across cross-functional teamsRequisitos principales - hybrid-friendly culture - Be Well programs supporting well-being - access to cutting-edge learning opportunities - certifications with Microsoft, Google, and Amazon - coaching and hands-on experiences - continuous feedback and development path ## Description Experteer Overview As a Senior AI Architect at Kyndryl, you will lead end-to-end Generative and Agentic AI architectures that scale across enterprise delivery teams.You'll set architectural strategy, ensure quality and security, and guide cross-functional teams toward real business value.The role sits at the intersection of business, technology, and innovation, driving responsible AI adoption and transformation.This is a chance to shape enterprise-scale AI programs and collaborate across multiple accounts in a culture that values curiosity and impact.Compensaciones / Beneficios- Design and evolve end-to-end AI and Agentic AI architectures for enterprise-scale innovation- Translate objectives into coherent, high-impact architectural strategies- Act as technical authority ensuring quality, scalability, and security in solutions- Lead multidisciplinary teams toward architectural excellence and business value- Align initiatives with business strategy and operational goals- Foster a rigorous, creative, and responsible AI culture and test/adopt emerging technologies- Serve as technical reference and decision-maker, guiding architectural choices across stakeholdersResponsabilidades- 7+ years designing/delivering large-scale AI/ML architectures in enterprise environments- Proven experience deploying production AI systems and governance- Deep knowledge of AI/ML architectures, cloud-native solutions, and distributed systems- Familiarity with multi-agent frameworks and RAG architectures (LangGraph, CrewAI, AutoGen, Google ADK; LangChain, LlamaIndex)- Experience with at least one major cloud provider (Azure, AWS, GCP) and AI platforms (Azure ML, Vertex AI, OpenShift AI, Databricks)- Solid understanding of MLOps frameworks (MLflow, Kubeflow, Airflow)- Demonstrated leadership to drive architectural direction across cross-functional teamsRequisitos principales- hybrid-friendly culture- Be Well programs supporting well-being- access to cutting-edge learning opportunities- certifications with Microsoft, Google, and Amazon- coaching and hands-on experiences- continuous feedback and development path ## Related Videos - [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) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [This Is Not Your Father's .NET](https://www.wearedevelopers.com/videos/967-this-is-not-your-father-s-net) - [When Should You Use an Agent? Architectural Trade-offs in Agentic Systems](https://www.wearedevelopers.com/videos/100109-when-should-you-use-an-agent-architectural-trade-offs-in-agentic-systems) - [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) ## 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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)