AI Architect in Magdeburg
Role details
Job location
Tech stack
Requirements
As an AI Architect you are responsible for designing and implementing cognitive / AI solutions, which may run on multiple platforms and be composed of multiple software packages. You create the technical solution architecture for a given business problem and lead the development, integration, and testing of the solution. This requires a deep understanding of system engineering principles, cloud architectures, probabilistic and stochastic systems, system decomposition techniques, and the art of system synthesis using available cognitive / AI technology. As an AI Architect you must be familiar with commonly used technology suites and be able to select complementary analytics components for developing solution blueprints, accounting for performance architecture and engineering of a fully functional cognitive / AI system. You should have a thorough understanding of content formats, representations, data sources, content management systems, and interfaces to these. The goal is to cover the full information path from source to knowledge base and from input to processing the content in Cognitive Computing / AI solutions. Required education Required technical and professional expertise
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Strong fundamentals in Computer Science in connection with cognitive computing / artificial intelligence / machine learning, DevSecOps / AIOps.
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Experience in designing, evaluating and developing IT architectures which include AI solutions / components using industry-standard frameworks, generative AI, large language models and cloud-based tools and infrastructures.
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Experience in leveraging LLMs / generative / agentic AI for scalable and robust cognitive computing / AI solutions.
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Skills and expertise in
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Containerization of applications, OpenShift architecture and administration incl. GPUs
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GenAI and agentic AI architectures (RAG, agentic patterns, etc.)
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DevSecOps / MLOps (e.g. CI/CD pipelines, ML lifecycle / deployment)
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API design and integration
Hands-on experience with Python for developing and deploying AI / ML models as well as AI / ML frameworks (e.g. PyTorch).
Strong client-facing and consulting skills to shape AI-driven transformation strategies.
Experience in leading technical project teams.
Excellent verbal and written German (min. C1 level)
German citizenship and willingness to undergo a security clearance check ("Sicherheitsüberprüfung") Preferred technical and professional experience
- Experience in setting up hybrid / multi cloud environments (Kubernetes, Vanilla, OpenShift Container Platform).
- You have preferably knowledge and experience in working with clients in the Public area.
hybrid, Software Engineering, Professional, Englisch, Softwareentwicklung, Frontend, devops, Softwareentwickler, Designer, Webentwickler, ITmitte.de, Empfehlungsbund