• Beratung unserer Kunden im Bereich Circular Economy technisch fundiert. • Entwicklung passgenauer Lösungskonzepte auf Basis individueller Anforderungen. • Erstellung technischer Architekturen und Präsentation von SAP Add Ons sowie Lösungsansätzen. • Zusammenarbeit mit dem Vertrieb, Unterstützung bei Angebotserstellung und Klärung technischer Fragen. • Analyse der Geschäftsprozesse der Kunden in Workshops und Einzelgesprächen. • Planung der Umsetzung der Konzepte und Integration der Add Ons in bestehende Systemlandschaften. • Kontinuierliche Beobachtung von Markttrends und SAP Technologien. • Zusammenarbeit mit Entwicklung, Projektmanagement und Kunden zur Realisierung innovativer Lösungen.

• Diseñar e implementar soluciones de IA para procesamiento inteligente de documentos. • Desarrollar pipelines de extracción de información utilizando LLMs, Prompt Engineering y Azure AI. • Integrar y optimizar servicios de IA con herramientas como Claude Code y plataformas cloud. • Definir estándares de calidad, documentar arquitecturas y colaborar en equipos ágiles. • Impulsar la evolución de la solución hacia un entorno de producción robusto, seguro y escalable.

• Working with our customers’ teams, you’ll lead and contribute to all phases of the Neo4j PreSales projects • Be an integral part of the Neo4j sales team, helping to persuade prospective Neo4j users of the benefits and advantages of graph database technology • Position the Neo4j technology within the customer’s environment and architecture • Discuss solution architectures with our customers to address the technical requirements of our customers’ projects • Design and build prototype solutions that demonstrate required functionality with Neo4j • Help prepare solution proposals for our customer’s engineering and management teams that help address the overall project goals

• Find high-leverage opportunities: Run listening tours and current-state assessments across functions. Identify and prioritize the workflows where AI can deliver outsized impact, weighing impact potential against feasibility, and focus on opportunities that can materially bend the revenue/opex curve. • Prototype and validate: Take prioritized use cases from idea to working prototype — internal workflow automations, reusable prompt systems and templates, AI-enabled tools and assistants, and early workflow integrations — to test whether an opportunity is worth broader investment. • Partner across the business: Work directly with functional owners, the AI Enablement Council, and AI Ambassadors to understand real workflow needs, validate selected opportunities, and build the business case and evidence base needed to inform investment decisions. • Build responsibly: Build and test using approved tools and established Legal and Security review pathways. Validate outputs, ensure clear human review, and maintain strong data hygiene. No AI tool is used on Chainguard, customer, or personal data until it has cleared review. • Make it visible and reusable: Document what you built, the problem it solves, and what you learned. Share your work across the company through Builder Hours, demos, and showcases, and surface recurring technical needs and reuse opportunities back to the AI Enablement Council. • Set the standard for internal AI building: Model responsible, high-quality AI building so that what you prototype can be handed off, scaled, and maintained by the functional experts who own the workflow.