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Celonis is the global leader in Process Intelligence and Process Mining technology. As a Lead Deployment Architect - AI, you will be the technical authority for strategic customer engagements within Celonis Services, responsible for designing and delivering enterprise-scale Process Intelligence solutions.
You will shape how Celonis solutions are architected and deployed across a portfolio of strategic accounts. Your core responsibilities include designing end-to-end solution architectures for complex enterprise deployments spanning multiple process areas, business units, and geographies. You will define technical blueprints for platform integration with customer systems, data strategies, and transformation goals, making architectural trade-off decisions (build vs. configure, custom vs. standard, phased vs. big-bang) with clear rationale tied to customer outcomes.
A key aspect of this role is pioneering AI-augmented delivery. You will design how AI deployment agents (Apollo) should be orchestrated across complex, multi-workstream engagements, defining agent workflows, validation checkpoints, and quality gates. You will develop reusable specifications, templates, and patterns that enable Deployment Engineers to direct AI agents effectively, and establish standards for AI output validation as the organization scales delivery.
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 customer C-suites. You serve as the senior technical advisor to strategic customers, building trusted relationships with VP and C-level stakeholders, translating business challenges into platform strategies, and guiding customers through their Process Intelligence maturity journey.
This role carries significant organizational leverage. You set delivery patterns that other teams follow, define how AI agents should be orchestrated for complex engagements, and work in close collaboration with Deployment Engineers to raise the bar for the entire practice. You bridge the gap between pre-sales and post-sales, ensuring that what was promised can be delivered and often shaping the promise itself.
