(Senior) AI-Architect (all genders)

TasksTasks

As a (Senior) AI Architect, you will play a key role in designing and implementing scalable, production-ready data and AI architectures. You will collaborate with data scientists, developers, IT teams, and business stakeholders to build secure, high-performing data infrastructures that drive enterprise-wide digital transformation.

The Following Tasks Are Waiting For You

• Cloud Architecture & AI Integration Consulting: Providing guidance on the design and integration of cloud infrastructures (Azure, AWS) and AI technologies
• Architecture Development: Designing and implementing scalable Data & AI architectures, including Data Mesh and Lakehouse models, and driving the development of modern AI infrastructures.
• Pipeline & MLOps Engineering: Collaborating with AI engineers and data scientists to build robust data pipelines, optimize MLOps/LLMOps workflows, and ensure smooth model deployment.
• Governance & IT Security: Ensuring data quality, security, and compliance through data governance frameworks, system hardening, encryption, access control, and alignment with data protection regulations.
• Mentoring & Team Development: Supporting the team in developing expertise in AI architecture through technical mentoring, knowledge sharing and leadership
  
  

QualificationsQualifications

To be prepared for your journey as AI Architect, you should bring the following qualifications with you:

• Completed studies in Computer Science, Data Science, Artificial Intelligence, or a related field, with at least 5 years of experience in designing and implementing Data & AI architectures.
• Passion for developing innovative AI solutions, driving digital transformation and mentoring teams
• Expertise in cloud technologies (AWS, Azure, GCP), AI/ML models, MLOps, data pipelines (e.g., Spark, Kafka), and modern architecture patterns (e.g. Data Mesh, Lakehouse).
• Your working method is characterized by a pragmatic mindset, strong analytical thinking, and a structured, solution-oriented approach to complex technical challenges.
  
  

Things To Know Before Departure

• Start Date: By agreement – always at the beginning of the month
• Working Hours: Full-time (40h); 30 vacation days
• Employment Type: Indefinite
• Line of Work: Consulting
• Language skills: Fluent in English (German is a plus)
• Flexibility & willingness to travel
• Other: a valid work permit; if needed, we can apply for the work permit as part of our recruiting process. The process takes time and has an impact on the start date.