AI Technology Evaluation
- Continuously assess state-of-the-art AI models, platforms and solutions (e.g. frontier foundation models, open-weight models, multimodal systems).
- Understand current AI technology (training, inference, tokenization, embeddings, context windows, fine-tuning, adapters).
- Evaluate strengths, limitations, trade-offs, and risks of different AI approaches for Teufel use cases.
Bridging IT & Business Domains
- Act as the technical translator and advisor between IT and business stakeholders using or requesting AI capabilities
- Support PoCs and pilots with a clear path to production readiness.
- Provide technical guidance and guardrails for AI usage in departments.
Data Integration
- Define and implement best practices for AI integration.
- Evaluate and integrate AI related protocols and standards (e.g. MCP, UCP, etc.).
- Collaborating closely with our Data Engineering team to make data available to selected AI tools (e.g. via RAG)
- Ensure data quality, lineage, access control, and auditability.
AI Platform & Tooling Ownership
- Design and maintain Teufel’s AI solution architecture including
- Platforms
- Tools & Agents
- Models
- API gateways
- Monitoring, logging, cost control
- Work closely with IT Security and Compliance on governance, privacy, EU AI Act, GDPR, NIS2 implications.