Stellendetails

Your Tasks

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

Your Profile

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

Nice to Have

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