Enterprise AI Consultant

celonis · Munich, Germany

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Gefragte Sprachen
Deutsch gute Kenntnisse
Stellenangebot auf
Englisch
Arbeitsort
Munich, Germany
Arbeitsmodell
Hybrid
Veröffentlicht
28. Oktober 2026

Kurz zusammengefasst

Celonis is a leading provider of an enterprise‑wide AI platform that turns process data into a living digital twin, enabling companies to achieve transformational outcomes in productivity and sustainability. The Enterprise AI Consultant role sits within Celonis Services, the delivery arm that turns the platform into measurable business value for customers. As a Lead Deployment Architect, you will act as the technical authority for strategic accounts, shaping how Celonis solutions are designed, architected, and delivered across complex, multi‑geography engagements. Your day‑to‑day work will focus on solution architecture and design, beginning with pre‑sales scoping to ensure the right services align with the proposed architecture. You will create end‑to‑end designs that integrate the Celonis platform with customer systems and data strategies, make trade‑off decisions between build versus configure, and own solution quality through design reviews. In addition, you will design AI orchestration workflows for Celonis's Apollo agents, develop reusable specifications and patterns, and set standards for AI output validation. You will also act as a senior technical advisor to VP‑level and C‑suite stakeholders, translating business challenges into platform strategies, defining success metrics, and guiding customers through process‑intelligence maturity and AI readiness. The role requires deep expertise in the Celonis platform, strong domain knowledge across multiple process areas, and the ability to bridge pre‑sales and post‑sales activities. You must be comfortable leading technical design reviews with engineers and presenting transformation roadmaps to senior executives. Collaboration with Deployment Engineers is essential, as is staying current with the latest Celonis technologies and early‑stage product implementations, feeding feedback to Product and Engineering teams. While the posting does not list formal qualifications, it highlights several desirable capabilities. Experience designing secure, scalable architectures for large enterprises and a track record of pioneering AI‑augmented delivery approaches are valued. Building trusted relationships with senior technical stakeholders such as Lead Data Engineers, Heads of Data Intelligence, and Business Transformation leaders is also emphasized. The position offers the chance to influence delivery patterns across the organization, work closely with a global ecosystem of experts, and contribute to innovative AI‑driven solutions that accelerate timelines and unlock new use cases. What the role asks for:

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