Job
- Level
- Erfahren
- Job Feld
- IT, Software, Security
- Anstellung
- Teilzeit / Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Essen
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du eine wiederverwendbare AI-Plattform mit Fokus auf Sicherheitsstandards, Agentenarchitektur und EU AI Act-Konformität, während du an der Orchestrierung von KI-Agenten arbeitest.
Job Technologien
Deine Rolle im Team
- 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.
- 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.
Unsere Erwartungen an dich
Ausbildung
- University degree (or equivalent) in Computer Science, Computer Engineering, or Information Technology or related field.
Qualifikationen
- 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.
- 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.
Erfahrung
- 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.
- Experience with LLMOps and AgentOps: model and agent evaluation, guardrails, tracing and CI/CD.
Unser Angebot
- 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.
Benefits
Work-Life-Integration
Mehr Netto
Gesundheit, Fitness & Fun
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
RWE AG
Die RWE AG ist ein unverzichtbarer Bestandteil des europäischen Energiesystems und sorgt für die Versorgungssicherheit in Europa. Das Unternehmen verfügt über drei operative Segmente: Braunkohle & Kernenergie, Europäische Stromerzeugung aus Gas, Kohle, Wasserkraft und Biomasse sowie Energiehandel. Zudem hält RWE eine Finanzbeteiligung an der innogy SE, einem der führenden europäischen Energieunternehmen.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Energiewirtschaft, Umwelt