Development and design of modern AI and Generative AI architectures
Conception of scalable, secure and future-proof AI solutions in an enterprise environment
Analysis, evaluation and selection of suitable AI technologies, frameworks and platforms
Architecture consulting for AI-based solutions and use cases
Integration of AI solutions into existing IT, data and cloud landscapes
Collaboration with business departments, data science teams, developers, IT and other stakeholders
Evaluation and use of modern AI tools, including Claude and comparable LLM solutions
Creation of architecture concepts, technical documentation and decision papers
Support in the definition of AI governance, security and compliance requirements
Ensuring scalability, maintainability and technical quality of AI architectures
Accompanying AI use cases from the idea through technical conception to implementation
Moderation of technical alignments, workshops and architecture reviews
At least 6+ years of experience in IT architecture, solution architecture or enterprise architecture
Proven experience as an AI Architect, AI Solution Architect or in a comparable AI-related architecture role
Very good knowledge in the field of Artificial Intelligence, Machine Learning and Generative AI
Very good knowledge of Python
Experience with Large Language Models and modern AI tools, ideally Claude
Sound understanding of AI architectures, data architectures, APIs and integration patterns
Experience in the conception and implementation of enterprise architectures
Experience in the evaluation and introduction of modern AI technologies and platforms
Knowledge in the field of AI governance, AI security and Responsible AI
Completed degree in computer science, business informatics, data science, Artificial Intelligence or comparable
AI certifications
Very good written and spoken English skills
Structured, independent and consulting-oriented way of working
Strong communication and stakeholder management skills
Experience in the telecommunications environment
Experience with cloud technologies such as AWS, Azure or Google Cloud
Knowledge of MLOps, LLMOps or AI platform architectures
Experience with prompt engineering, RAG architectures or agent-based AI systems
Experience in international project environments
Knowledge of security, data protection and compliance requirements in the AI context
Further AI, cloud or architecture certifications
