AI Platform & Agentic Architect d/f/m

About the role

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.

Responsibilities

• 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.

Requirements & Experience

• University degree (or equivalent) in Computer Science, Computer Engineering, Information Technology or related field.
• Several years of hands‑on working experience in AI platform architecture and agentic AI in a regulated decentralized 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.

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 digitised pre‑ and onboarding process supported by the web‑based app RWE+You.

Equal Opportunity Employer

We value diversity and therefore welcome all applications – regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity.