Spezialist System Integration​/ Agentic AI Process Designer (m​/w​/d) ANÜ

Aufgaben, Kompetenzen und Verantwortung

• Together with Process Owners you analyze existing HR and operational processes through a data- and AI-first lens: you assess data availability, data quality, and decision logic before defining the right mix of automation, AI, and agentic components.
• You identify AI- and agent-based use cases and contribute to the design of AI-driven process architectures that integrate available AI platforms, agents, data sources, and knowledge bases.
• You connect process thinking with technical execution: you translate process and data requirements into feasible agent designs and feed technical learnings back into process redesign.
• You support the assessment and validation of efficiency gains, balancing them against effort, data availability, and governance requirements — and help embed these considerations into lightweight business cases.
• You work closely with cross-functional teams across business, IT, AI Product, Data, and Platform to bring use cases from idea to productive deployment.
• You contribute to the design of human–AI interaction, ensuring clear responsibilities, transparency, and effective day-to-day collaboration between agents and process participants.
• You help apply our AI risk and governance framework to new use cases, ensuring legal, ethical, and compliance standards are integrated into the process design from the start.
• You support stakeholder alignment through clear communication, visualization of complex topics, and facilitation of working sessions.

• University degree (Bachelor or Master) in Computer Science, Data Science, Business Informatics, Industrial Engineering, Engineering, or a comparable field.
• A data- and AI-first mindset: the instinct to look at data, decision logic, and process flow before jumping to tools — and the ability to challenge process design from that angle.
• Strong conceptual process understanding and the ability to quickly grasp complex business and operational contexts.
• At least 2 years of experience in Data Science, Machine Learning, or AI engineering, including designing, transforming, or implementing AI- and data-supported processes or workflows.
• At least 1 year of hands‑on experience in implementing productive AI solutions, including practical work with at least one major framework (e.g. Lang Chain, Lang Graph, Llama Index, PyTorch).
• Practical exposure to at least one of the following areas:
  Generative AI, Natural Language Processing, agentic AI tools and systems.
• Hands‑on experience with low‑code / no‑code orchestration platforms in a corporate environment (e.g. n8n, Make, Power Automate) — including building productive workflows that integrate with enterprise systems.
• Conceptual or practical understanding of MCP (Model Context Protocol) and its role in connecting agents to enterprise data and tools.
• Solid foundation in data handling: SQL, Python, data quality assessment, and ideally experience with data pipelines or feature engineering for ML use cases.
• Conceptual understanding of AI technologies and AI agents, combined with technical affinity and a basic awareness of relevant AI governance requirements (e.g. EU AI Act, GDPR).
• Ability to think in data- and AI-first process architectures rather than incremental digital improvements.
• Strong communication skills and the ability to work pragmatically in a small, high‑velocity team. Sense of ownership and comfort with ambiguity are essential.
• German B1 or higher is sufficient;
  English is the primary working language.

• Interessante Herausforderungen in einem mittelständischen Motorsportunternehmen mit Tradition
• 30 Tage Urlaubsanspruch
• Attraktive Konditionen mit unbefristeter Anstellung
• Zuschuss zur Rentenvorsorge
• Corporate‑Benefits‑Programm, Rabatte bei namhaften Online shops und Dienstleistern
• Bike‑Leasing zu günstigen Konditionen
• Bahn ticket
• Wellpass
• Team‑ und Firmenevents sorgen für ein gutes Arbeitsklima