AI Solutions Architect

That's in for you

Awareness instead of political decisions: Unleash your potential in a corporate culture that values personal responsibility and promotes data-driven decisions.
Dynamic learning: Develop yourself continuously with access to books, coaching and LinkedIn Learning - all without fear of making mistakes.
Excellent working environment: As a top company that has won multiple awards, we offer an environment that supports professional growth and guarantees appreciation.
Flexibility and equal opportunities: Use flexible working models with the option of working from home. With us, your contribution counts, regardless of your position.
Dog-friendly office: Bring your dog - all family members are welcome here.
Celebrate together: Experience how we celebrate successes together at team events, from summer parties to vinyard hikes.

Skills to be successful

1. AI and prompt expertise

• In-depth knowledge of prompt engineering (optimisation of AI-supported interviews for knowledge generation)
• Experience with LLMs (Large Language Models), especially in adapting and fine-tuning them for specific tasks

2. Knowledge Management & Information Preparation

• Willingness and ability to learn knowledge management concepts and best practices
• Understanding of knowledge structures, taxonomies and ontologies for efficient knowledge storage and reuse
• Knowledge of natural language processing (NLP) for extracting and structuring expert knowledge
• Experience with text classification, clustering and entity extraction for structured processing of responses

3. Technical skills & prototyping

• Ability to independently implement ideas in prototypes and proof of concepts (PoCs)
• Knowledge of Python or another relevant programming language for machine learning and AI prototypes
• Experience with LLM APIs (e.g. OpenAI, Anthropic, Mistral) and frameworks such as LangChain or LlamaIndex
• Basic knowledge of database technologies (e.g. PostgreSQL, vector databases)

4. Data processing & AI integration

• Experience with data pipelines for knowledge processing and storage
• Understanding of semantic search technologies for rapid retrieval of documented knowledge
• Knowledge of knowledge graphs for intelligent linking of expert knowledge
• Experience with RAG methods to improve knowledge retrieval accuracy

5. innovative ability & problem-solving skills

• Openness to new AI methods and technological developments
• Ability to analyse complex problems and develop creative solutions
• High level of self-motivation to test and further develop new concepts independently