Your responsibilities

• We are looking for an experienced AI Architect (m/f/d) who can design, implement, and continuously optimize a bespoke platform to meet our business needs. The AI Architect will play a key role in connecting visionary platform requirements with intelligent, scalable, and innovative technology.
• Responsibilities:
• -Design and implement a bespoke platform using advanced Artificial Intelligence and machine learning techniques.
• -Lead and be responsible for the architecture of the entire platform, both from a technical and strategic perspective.
• -Integrate various AI models, algorithms, and data sources into the platform to create intelligent and scalable solutions.
• -Collaborate closely with cross-functional teams, including data scientists, software developers, and product managers, to successfully implement and continuously evolve the platform.
• -Ensure platform stability and security, adhering to best practices for code quality and architecture.
• -Conduct performance analysis and continuously optimize the platform to ensure scalability and efficiency.
• -Create technical roadmaps and future visions for the platform’s development, including the integration of new AI technologies.

Our requirements

• Requirements:
• -Degree in Computer Science, Mathematics, Engineering, or a related field.
• -Several years of professional experience in developing and architecting bespoke AI-based platforms.
• -In-depth knowledge of Artificial Intelligence, machine learning, deep learning, and Natural Language Processing (NLP).
• -Experience in selecting and integrating tools and frameworks such as LiteLLM, mlflow, snowflake, knime.
• -Practical experience with cloud platforms (AWS, Google Cloud, Azure) and modern infrastructure technologies.
• -Experience with agile development methods and working in cross-functional teams.
• -Strong problem-solving skills and the ability to tackle complex technical challenges.
• -Excellent communication skills in both German and English, both written and spoken.
• Desirable:
• -Experience in developing bespoke platforms and custom solutions for clients.
• -Knowledge of Big Data technologies and Data Lakes.
• -Understanding of DevOps practices and automated deployment pipelines.
• -Experience with integrating real-time data streams and high-dynamics systems.

Technologies we use