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 xugodme 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