Experteer Overview
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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 / Incentivos
• 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 practices
Responsabilidades
• 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 xqbhyrx 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 Spanish
Requisitos 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

📌 AI Systems Architect (Madrid)
🏢 Kyndryl
📍 Madrid