Senior/ Lead AI Deployment Engineer - Supply ChainActive$42K–$146K

The opportunity

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity.

What you'll do

  • Run discovery workshops with business and IT stakeholders, translating: strategic objectives into high-impact Celonis use cases.

  • Build and configure the analytical core on the platform—data models, process: analyses, and dashboards —directing Celonis's AI deployment tooling to move fast and validating every output for accuracy and business relevance.

  • Lead value workshops to pinpoint root causes of process inefficiencies and: define the KPIs that quantify business impact.

  • Design and deploy the operational solutions —automations, action flows, and: AI-powered insights— that put the platform to work in users' day-to-day decisions.

  • Present business cases to senior (VP: and C-level) stakeholders and secure their sign-off on the value realization plan.

  • Drive adoption: Enable key users to run and extend the solution independently, and document design decisions for a clean handover.

What they're looking for

  • Manage delivery against timeline, scope, and customer expectations.
  • Act as a subject-matter expert in pre-sales, helping shape and scope: engagements (approach, solution blueprint, and effort estimates).
  • You work with AI agents as your primary tools: You set the direction while AI agents do the heavy lifting of the build—bringing the intent, context, and judgment that make the output right for the customer.
  • You turn ambiguous business needs into precise, executable intent—the: specification and context engineering craft that most separates great delivery from average.