• Support the development and improvement of engineering infrastructure for a novel agentic AI system, including implementing task-specific agents and workflow orchestration. • Improve and scale agent infrastructure for LLM evaluations, logging and analysis of agent workflow components. • Contribute to the development of tools and frameworks to assess and mitigate AI-related risks in agentic AI. • Support technical experiments that conduct evaluations of LLMs and AI agents with engineering infrastructure. • Contribute to influential research outcomes in top-tier conferences and journals. • Be self-motivated and capable of proposing and implementing innovative ideas.

• Lead AI & Data Science product development projects • Champion adoption of AI tools and practices • Own end to end project delivery • Invest in team members and promote growth • Serve as the Agile champion for the team

• Help define and evolve the operational direction of our implementation model as product and customer patterns evolve. • Serve as an escalation and resolution point for your leaders and book of business. • Directly manage Managers of Forward Deployed Engineers (FDEs) and Technical Program Managers (TPMs), coaching performance, delegation, and conflict resolution while developing the next generation of delivery leadership. • Ensure clarity of ownership across pods, strengthen onboarding and enablement for FDE leaders, and create structure that enables managers and engineers to operate independently. • Build for current and future state profiles, partnering on headcount planning and resourcing tradeoffs while balancing customer commitments with sustainable capacity. • Tie delivery performance to utilization and renewal readiness, using data to inform tradeoffs and improve decision quality. • Act as connective tissue across GTM, Product, and Engineering, translating field patterns into actionable insights, and aligning delivery narratives with executive stakeholders.

Role Description - Weiterentwicklung und strategische Ausrichtung eines zentralen C#.NET-Frameworks - Architekturdesign auf Systemebene - Definition technischer Standards und Entwicklungsrichtlinien - Performance-Optimierung und Sicherstellung nachhaltiger Skalierbarkeit - Technisches Mentoring innerhalb des Entwicklerteams Qualifications - Mindestens 5 Jahre Erfahrung in anspruchsvoller C#.NET-Entwicklung - Tiefes Verständnis von Softwarearchitektur und Framework-Design - Erfahrung mit Clean Architecture, SOLID und Design Patterns - Strategisches Denkvermögen und hoher Qualitätsanspruch - Freude an technischer Verantwortung Benefits - Strategischer Einfluss auf die technologische Zukunft des Unternehmens - Hoher Gestaltungsspielraum statt rein operativer Entwicklungsarbeit - Full-Remote-Struktur mit maximaler Flexibilität - Positionierung als technischer Sparringspartner auf Architekturebene - Nachhaltiges Produktumfeld ohne Projekt-Hopping - Individuelle Weiterentwicklung in Richtung Principal- oder Lead-Position - Stabiler wirtschaftlicher Rahmen mit langfristiger Perspektive