AI Automation & Workflow Architect | Claude Expert 100% (DE)

AI-native Workflow-Design & Orchestrierung

• Design and operation of autonomous AI agents and multi-agent systems for operational tasks in marketing, HR, finance, and sales support.
• Orchestration of LLM-based workflows with Claude Enterprise Agents – tool-agnostic, results-oriented
• Building agentic pipelines via Paperclip: Agent coordination, task delegation, and workflow control as the primary orchestration layer.
• Building and operating agentic pipelines that not only process data but also make situational decisions and escalate actions.
• System integration via APIs and webhooks; classic automation platforms (Make, n8n) as a complementary tool where native AI orchestration is not yet available.

AI Quality, Governance & Evaluations

• Building systematic evaluation frameworks for AI outputs in production processes – no deployment without quality control
• Definition and operation of guardrails and escalation logics for autonomous AI actions with customer contact
• Transparent reporting on AI performance, error rates and efficiency gains to the Head of AI, CTO and CEO
• Close coordination with Legal and Compliance on AI actions with regulatory relevance

Knowledge Architecture & Institutional Memory

• Development and strategic maintenance of the company-wide knowledge base in Langdock as an AI operational memory.
• Structuring company knowledge so that agents can reliably access it and independently derive decisions.
• Ensuring the timeliness, quality, and access structure of the knowledge layers – including versioning and ownership logic.

Internal AI operating system

• Building an internal AI AgentOS: every person in Operations can independently control and adapt AI workflows – without tech dependency.
• Development of internal standards, playbooks and governance structures for company-wide AI deployment
• Identifying and fostering internal AI champions; you build competence, not dependence on you.

Must-have criteria

• Proven, hands-on experience in building AI-native workflows and agent systems in production environments – not theoretical, not in a sandbox.
• Deep understanding of LLM systems: Prompt engineering, context management, tool use, agent architectures
• Bachelor's and/or Master's degree in Business Informatics / Engineering or similar is a must.
• Experience and always on top of mind with Claude
• Experience with AI evaluation: you know how to systematically test, evaluate, and improve AI outputs.
• Strong understanding of integration: API logic, webhooks, data structures (JSON, REST) ​​– tool-agnostic
• Experience with knowledge management platforms for company-wide knowledge layers
• Ability to understand business contexts and link every automation decision to measurable business value – not just a tool-centric approach.
• High level of initiative: you don't need daily guidance, you provide it for others.
• Experience in a scale-up or growth-oriented company

Optional criteria

• Experience with classic workflow automation platforms
• Experience with AI orchestration platforms (Paperclip or similar) for multi-agent coordination and task delegation
• Basic knowledge of Python or a comparable scripting language for custom logic
• Background in PropTech, FinTech or operations-intensive B2C environment
• Experience with CRM systems

Personality:

• You think in systems and levers, not in individual tasks.
• Fast learning speed: you'll reach the level in 6 months that others achieve in 2 years.
• You can make AI complexity tangible for non-technical stakeholders.
• Fluent in German and English, both spoken and written.

• Above-average career opportunities & talent development
• Young and innovative company
• Fixed workstations and co-working space in bright rooms with quiet zones
• Food & Drinks: fresh fruit & snacks, coffee & tea, drinks & after-work beer
• Birthday Retreat: Half a day free
• Five weeks of vacation
• Unlimited (unpaid) leave
• Rocket Friday, Summer & Winter Events, Incentive Trips
• CEO Office: you work closely with strategic decisions, not in an operational silo.
• Creative freedom in a role you build from the ground up – no inheritance, no legacy system.
• A company that treats AI as a core competency, not as an IT project.
• Competitive salary, potential profit sharing