AI Platform & Agentic Architect D

AI Platform & Agentic Architect d/f/m Location(s): Essen, NW, DE, 45141 RWE AG To start as soon as possible, full time / part time, permanent As an AI Platform & Agentic Architect you design the shared AI platform every use case runs through: a model gateway, an agentic architecture, and guardrails and sovereignty built in from the start. Build it once, make it reusable, keep it safe and vendor-neutral. About the role • Own and evolve the reference architecture for our AI platform, including the model garden, a governed model gateway providing unified access to all models, and the orchestration of AI agents. • Define enterprise standards for agentic AI, covering approved agent frameworks (commercial and open source), MCP-based integrations, multi-agent coordination patterns, and scalable agent memory architectures. • Set standards for agent evaluation, reliability and observability, so agents are dependable in production, not just in demos. • Design the gateway for reuse, control, audit, provider-independence and cost/token transparency. • Build governance, security, and digital sovereignty into the AI platform, including EU AI Act compliance evidence and audit logging, guardrails, data residency controls, customer-managed encryption keys, and a comprehensive agent control plane covering machine identities, agent registration, and release governance. • Define the paved-road patterns and sandbox-to-production paths that let teams move from idea to value in weeks. Job requirements and experience • University degree (or equivalent) in Computer Science, Computer Engineering, or Information Technology or related field. • Several years of hands-on working experience in AI platform architecture and agentic AI in a regulated decentral environment. • Deep experience in designing and running AI/ML or GenAI platforms at scale. • Strong agentic AI expertise: agent orchestration and multi-agent frameworks (e.g. Copilot Studio, Databricks, LangGraph, Semantic Kernel, AutoGen), MCP, tool use, memory and human-in-the-loop patterns. • Solid knowledge of cloud architecture (Azure and AWS), containers, and API/gateway design. • Experience with LLMOps and AgentOps: model and agent evaluation, guardrails, tracing and CI/CD. • Working knowledge of EU AI Act, identity and access (including machine identities) and data-sovereignty concepts. • A strong bias for reusable, standardised platforms over bespoke builds. RWE is committed to creating a diverse and inclusive environment - we value your passion, your willingness to learn and your desire to thrive. Even if you don't have all of the above skills , but think the job would be a good fit for you, you need flexible working arrangements or we need to make adjustments not yet listed here, we'd love to hear from you. Your Benefits • Independent work on exciting and responsible tasks. • Close collaboration in a motivated team with an open feedback culture that promotes your personal and professional development. • Insights into a global energy company. • Hybrid working and flexible working time models. • Free access to the Health Center, modern open workspaces, free parking, e-charging stations and much more. • Structured and digitized pre- and onboarding process supported by the web-based app RWE+You. Apply with just a few clicks: ad code 93030 , application period: Any questions? Contact HR: HR Services RWE Core, Recruiting Services, Today, RWE is one of the world's leading renewable energy companies.