Job
- Level
- Experienced
- Job Field
- IT, Software, Security
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Essen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you design a reusable AI platform focusing on security standards, agent architecture, and EU AI Act compliance, while working on the orchestration of AI agents.
Job Technologies
Your role in the team
- As an AI Platform & Agentic Architect, you design the shared AI platform through which every use case runs: 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.
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Our expectations of you
Education
- University degree (or equivalent) in Computer Science, Computer Engineering, or Information Technology or related field.
Qualifications
- 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 preference for reusable, standardized platforms over bespoke builds.
Experience
- 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.
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What we offer
- 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.
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Benefits
Work-Life-Integration
- 🏠Home Office
- 🅿️Employee Parking Space
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
- 🍼Day Care for Kids
More net
Health, Fitness & Fun
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
RWE AG
RWE AG is an essential part of the European energy system, ensuring security of supply for Europe. With its three operating segments - lignite & nuclear power, European electricity generation from gas, coal, hydropower and biomass, and energy trading - it is one of the leading European energy companies.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy