Celonis sucht am Standort München einen erfahrenen Experten als Lead Deployment Architect zur Konzeption und Skalierung von Process-Intelligence-Lösungen. In dieser Schlüsselrolle gestalten Sie zukunftsweisende Enterprise-Architekturen für strategische Großkunden und steuern den gezielten Einsatz fortschrittlicher KI-Agenten. Sie agieren an der Schnittstelle von technischer Architektur, Pre-Sales-Beratung und C-Level-Consulting, um komplexe Geschäftsprozesse nachhaltig zu optimieren. Mit Ihrer fundierten Expertise prägen Sie Standards für globale Implementierungsteams und treiben den langfristigen Kundenerfolg maßgeblich voran.
Celonis drives global enterprise efficiency as the leader in Process Intelligence and pioneer of Process Mining technology. By harnessing advanced AI capabilities through the Process Intelligence Graph, we empower top-tier organizations to turn data insights into immediate operational value.
The Delivery Engine
Celonis Services converts platform potential into business-critical customer outcomes. In the current AI landscape, technical teams direct intelligent agentic systems like Apollo to automate routine builds while focusing on architectural design, domain strategy, and executive alignment.
Core Responsibilities
As a technical authority, you define architectural standards and shape solution strategies across strategic account portfolios.
- Design scalable end-to-end architectures for complex global enterprise deployments.
- Establish technical blueprints integrating the Celonis platform with customer data infrastructures and AI engines.
- Orchestrate AI deployment agents by establishing robust validation frameworks, checkpoints, and quality benchmarks.
- Partner with pre-sales teams to ensure solution feasibility, accurate service scoping, and clear value mapping.
- Advise C-level executive stakeholders on Process Intelligence roadmap maturation and digital transformation.
- Guide deployment engineers in executing cutting-edge operational use cases while providing feedback to Product & Engineering.
Qualifications and Requirements
- At least 8 years of background in technical consulting, enterprise solution architecture, or delivery leadership.
- Minimum 3 years in senior technical roles managing complex, multi-stakeholder enterprise transformations.
- Demonstrated ability to architect multi-component solutions spanning data integration, process mining, and AI.
- Expert mastery of the Celonis platform, including Process Intelligence Graph, PQL, and Python integration.
- Practical experience designing AI-augmented delivery workflows and context engineering frameworks.
- Proven leadership presence capable of advising executive stakeholders and navigating intricate corporate IT structures.