GEN AI Architect (f/m/d)

Unternehmen

Freudenberg Technology Innovation SE & Co. KG

Über diese Stelle

Weinheim
Festanstellung

Über Freudenberg Technology Innovation SE & Co. KG

Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments. Together with our partners, customers and the world of science, we develop leading-edge technologies, and excellent products and services for about 40 markets and for thousands of applications: seals, vibration control components, batteries and fuel cells, technical textiles, filters, cleaning technologies and products, specialty chemicals and medical products.

You support our team as

GEN AI Architect (f/m/d)

Aufgaben

  • Define and maintain reference architectures and GenAI blueprints for scalable, secure, and compliant AI systems.
  • Align GenAI initiatives with business goals, regulatory frameworks (e.g., EU AI Act), and emerging technology trends.
  • Design solutions that integrate GenAI with legacy systems (e.g., MES, ERP), ensuring interoperability and business continuity.
  • Understand AI governance policies covering data privacy, security, and ethical use.
  • Partner with project managers, data scientists, and IT architects to ensure architectural consistency and strategic alignment.
  • Present architectural insights and investment recommendations to senior leadership.

Fähigkeiten

  • Master’s degree in Computer Science, Artificial Intelligence, or related field.
  • Ideally 5 years of experience in AI/ML architecture, with a proven track record of designing and deploying enterprise-scale GenAI systems.
  • Proven experience designing GenAI solutions in production environments.
  • Deep understanding of cloud-native architectures (Azure, AWS, GCP).
  • Familiarity with AI/ML frameworks (e.g., LangChain, HuggingFace) and vector databases.
  • Strong grasp of architectural principles, scalability, and lifecycle management.
  • Experience with AI technology road mapping.
  • Background in manufacturing or industrial systems integration.
  • Not focused on model training — this is an architecture role.
  • Strong communication skills.

Standort

Adresse

Weinheim, Deutschland


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