AI Platform & Agentic Architect D

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.

• 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.

+ 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: 03.08.2026 Any questions? Contact HR: HR Services RWE Core, Recruiting Services, +49 201 5179-9050 Today, RWE is one of the world's leading renewable energy companies.