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IBM

Senior AI Architect (m/w/d)

IBM

Published 10 May 2026
Germany& Other locations
Full Time

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Role Highlights

Languages used

Python

Key skills

Machine Learning
ML Ops
Integrations
CICD
LLMs
Generative AI
Testing
DevSecOps
RAG

Tools, Libraries and Frameworks

Red Hat
IBM
AWS
Azure
OpenShift
Kubernetes
PyTorch

Description

The role involves collaborating with clients and internal teams to analyze requirements and derive viable solution architectures. Responsibilities include the design, development, integration, and testing of AI solutions across multiple platforms. The position requires conceptualizing complex system and cloud architectures while selecting appropriate technologies and analytics components to ensure performant and scalable results. Furthermore, the role entails ensuring a consistent flow of information through a deep understanding of data sources, formats, interfaces, and content management systems. The individual will lead technical teams within complex project environments to drive innovation for clients in the public and private sectors.

Required Qualifications and Skills

The role requires a strong background in computer science with a focus on artificial intelligence, machine learning, and cognitive computing. Candidates must possess extensive experience in designing and implementing complex IT architectures using cloud technologies and generative AI frameworks. Proficiency in container technologies, MLOps, and Python programming is essential for the position. Additionally, the candidate must demonstrate strong consulting skills and the ability to lead technical teams. Fluency in German at a C1 level and English at a B2 level is required.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

IBM

Size

305978

Website

ibm.com

HQ

Armonk, New York, US

Public/Private

Public Company

Description

IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.

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