THOMAS SABO

Solutions Engineer

• Own the technical side of the newly established AI Center of Excellence and build the unit together with its leadership
• Guide prioritized use cases from the initial idea through prototyping and piloting to stable operations
• Document the system landscape, interfaces, data sources, AI licenses, and tools in use
• Assess the technical feasibility of use cases, including data, systems, effort, and risks
• Develop solution options ranging from simple automation to generative AI and AI agents
• Provide effort, cost, and feasibility estimates, including ongoing licensing, infrastructure, and operating costs
• Support prototypes and pilots using real data and users
• Define test cases, measure output quality, and improve prompts, workflows, and models
• Identify core systems and support integrations with AI solutions in collaboration with internal IT
• Integrate external systems via APIs and connectors such as MCP servers
• Clarify data requirements, data quality, storage locations, and responsibilities with the relevant business departments
• Evaluate and select AI platforms and tools, including language models, Copilot solutions, agent frameworks, and automation and low-code tools
• Develop a technology blueprint together with IT
• Implement requirements relating to data protection, IT security, and the EU AI Act
• Document solutions, transition them to operations in a structured manner, and retain responsibility for AI-specific components
• Further develop solutions based on user feedback and measured results
• Technically manage external implementation partners
• Support leadership in delivering training with demos and practical examples
• Serve as the technical point of contact for AI champions

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AI Engineer, AI Solutions Architect