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• The customer from the first calls on: take apart their decision problem live, pre-sales, and turn it into a first mini model.
• Scope and lead the development project end-to-end; own the result, not just the planning and organisation.

• Design and develop internal tools for R&D users
• Build user-friendly interfaces (web and desktop) for searching, entering, reviewing, visualizing, and managing complex technical data

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

Drive the product strategy for the Agentic Offerings Domain; AI Hub: focusing on Discoverability and conversion and and AgentSPHERE; focusing on Agent governance and control leading to the creation of an Agent Marketplace...

• Adapt the design system to enable accurate prototyping with AI tooling
• Own components, patterns, and usage guidelines from definition to delivery.
• Proactively identify gaps in the enterprise system and translate insights into accessible, inclusive, and scalable solutions.