Experteer Overview Usted podría ser el solicitante perfecto para este trabajo. Lea toda la información asociada y asegúrese de presentar su candidatura. 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 / Ventajas• 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 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 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

📌 AI Systems Architect (Madrid)
🏢 Talent
📍 Madrid