Python Architect

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
including Software and Red Hat.
Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
In this role, you will work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. As an Architect in IBM Consulting, you will serve as a leader in defining and implementing solutions for clients. You will collaborate with client stakeholders and internal partners to understand the business problem and requirements, constraints of the system and concerns of the various stakeholders to systematically transform detailed solutions (architectures) for the client.
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.
Bachelor's Degree
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.
Containerization of applications, OpenShift architecture and administration incl. GenAI and agentic AI architectures (RAG, agentic patterns, etc.)
Hands-on experience with Python for developing and deploying AI / ML models as well as AI / ML frameworks (e.g. Experience in leading technical project teams.
Excellent verbal and written German (min. German citizenship and willingness to undergo a security clearance check (“Sicherheitsüberprüfung”)