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Enterprise AI Consultant

Celonis - Munich, Bavaria, Germany - In-office - posted 2026-08-25

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Celonis is seeking a Lead Deployment Architect to serve as the technical authority for strategic customer engagements. You will shape how Celonis solutions—powered by AI agents and process intelligence—are designed, architected, and delivered across a portfolio of enterprise accounts. In this role, you operate at the intersection of deep platform expertise, domain knowledge, and customer strategy. You are equally comfortable leading technical design reviews with Celonis engineers and presenting transformation roadmaps to C-suite executives. You bridge pre-sales and post-sales, ensuring that solutions promised can be delivered and often shaping the promise itself. Key responsibilities include: **Solution Architecture & Design**: Design end-to-end Celonis solution architectures for complex enterprise deployments spanning multiple process areas, business units, and geographies. Define technical blueprints for platform integration with customer systems and data strategies. Make architectural trade-off decisions (build vs. configure, custom vs. standard, phased vs. big-bang) with clear rationale tied to customer outcomes. Own solution quality and outcome delivery across engagements through design reviews and architectural standards. **AI Orchestration & Delivery Innovation**: Design how AI deployment agents (Apollo) should be used across complex, multi-workstream engagements, defining agent workflows, validation checkpoints, and quality gates. Develop reusable specifications, templates, and patterns that enable deployment teams to direct AI agents effectively. Pioneer new delivery approaches that leverage AI to compress timelines, improve quality, or unlock previously impractical use cases. Set standards for AI output validation as delivery accelerates. **Customer Strategy & Advisory**: Serve as senior technical advisor to strategic customers, building trusted relationships with VP and C-level stakeholders. Translate business challenges into platform strategies, identifying high-impact use cases and defining success metrics. Support pre-sales by providing technical credibility in complex deals. Guide customers through their Process Intelligence maturity journey, advising on platform expansion, AI readiness, and organizational change. You set delivery patterns that other teams follow and raise the bar for the entire practice through collaboration with Deployment Engineers and cross-functional teams.

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