Lead Deployment Architect - AI

EngineersOfAI; New York (NY); On-site; USD 170,000 - 260,000; Full time

Job summary

Celonis is seeking a Lead Deployment Architect - AI to shape delivery across strategic customer engagements, defining end-to-end architectures and scalable, AI-augmented workflows.

You will collaborate with Deployment Engineers, bridge pre-sales and post-sales, and raise the bar on solution quality and business outcomes across the portfolio.

Job description

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.

The Team

Celonis Services is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real impact—understanding our customers\' business-critical problems, designing the solutions that solve them, and quantifying the value delivered. Our Deployment Engineers and Deployment Architects pair deep domain and industry expertise with serious platform mastery and AI-augmented delivery, directing agentic systems while owning the judgment, architecture, and customer relationships that AI cannot replace. We deliver faster and smarter than ever, and we own the outcome: initial value realization, adoption, and the long-term success of our customers.

The Role

As a Lead Deployment Architect - AI, you are the most senior technical authority within delivery. You shape how Celonis solutions are designed, architected, and delivered across your portfolio of strategic customer engagements. You define what good delivery looks like - setting architectural standards, designing end-to-end solution strategies, and ensuring that AI-augmented and agentic workflows are deployed effectively at scale.

You operate at the intersection of deep platform expertise, domain knowledge, and customer strategy. You are equally comfortable leading a technical design review with Celonis engineers and presenting a transformation roadmap to a customer’s C-suite. You bridge the gap between pre-sales and post-sales, ensuring that what was promised can be delivered - and often shaping the promise itself.

This role carries significant organizational leverage. You set delivery patterns that other teams follow. You define how AI agents should be orchestrated for complex, multi-workstream engagements. You work in close collaboration with Deployment Engineers and raise the bar for the entire practice.

The Work You’ll Do

Solution Architecture & Design

• Support Services scoping in pre-sales, ensuring the right Services are positioned in line with the Celonis solution architecture proposed
• Design end-to-end Celonis solution architectures for complex enterprise deployments, spanning multiple process areas, business units, and geographies
• Define the technical blueprint for how the Celonis platform integrates with customer systems, data strategies, and transformation goals
• Designing secure, scalable architectures tailored to complex enterprise requirements, optimizing for long-term usage growth and high concurrency
• 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 & outcome delivery across engagements, conducting design reviews, and ensuring delivery teams follow 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 Engineers to direct AI agents more effectively
• Pioneer new delivery approaches that leverage AI to compress timelines, improve quality, or unlock use cases that were previously impractical
• Set standards for AI output validation, ensuring the organization maintains quality as delivery accelerates

Customer Strategy & Advisory

• Serve as the senior technical advisor to strategic customers, build