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Celonis is seeking a Senior AI Consultant (internally titled Senior/Lead Deployment Engineer) to lead hands-on implementation of Celonis solutions for enterprise customers. You will combine deep platform expertise with AI-augmented workflows to deliver high-quality outcomes rapidly.
This role represents a new paradigm in consulting delivery. Rather than building everything manually, you will direct AI agents (such as Celonis's Apollo) to execute technical work—specifying requirements, validating outputs, and iterating with customers. You generate value by understanding customer business needs, translating them into technical specifications, and ensuring the platform delivers measurable impact.
Key Responsibilities:
**Initiate and Connect:** Conduct business discovery workshops to translate strategic objectives into high-impact use cases. Collaborate with customer IT and business stakeholders to define scope, data requirements, and success criteria. Ensure data connectivity and extraction pipelines are properly configured.
**Build & Value:** Direct AI deployment agents to build data models, process analyses, KPIs, and dashboards using clear specifications and validation against business requirements. Build and configure Celonis solutions across the platform including Process Intelligence Graph, data transformations, process analysis, operational solutions, and AI-powered insights. Identify process inefficiencies using Celonis technology in close collaboration with customers. Validate AI-generated outputs for accuracy and business relevance. Lead value creation workshops and define improvement measures. Define and build KPIs measuring customer success and quantify business impact. Design and build operational solutions to drive adoption and improve process conformance.
**Rollout, Adoption, and Handover:** Enable key customer users to use and extend solutions independently. Manage project outcomes against timelines, scope, and expectations. Train and demonstrate to customer users. Document solution design decisions and configurations for future reference.
**Domain & Industry Depth:** Develop and maintain deep expertise in one or more process domains (Supply Chain, Order to Cash, Procure to Pay, IT Service Management) or industry verticals. Translate domain knowledge into scalable solution patterns and reference architectures. Proactively identify and standardize high-value use cases within your domain.
What Makes This Different: You work with AI agents as primary tools, directing and validating their output rather than building everything manually. Strong specification and context engineering skills are essential—translating ambiguous business needs into precise instructions AI agents can execute. You continuously learn and adapt as AI capabilities evolve. You balance speed with quality, owning judgment calls on output correctness. You think in sustainable software solutions, ensuring operational solutions are robust, user-friendly, maintainable, and scalable.
Requirements:
- 4-7+ years in management consulting, IT consulting, data/solution consulting, or process improvement consulting within software vendors, consulting firms, or system integrators
- Ability to build and configure solutions on the Celonis platform, including data modeling, process analysis, KPI definition, and automation; proficiency in PQL, SQL, and Python
- Comfort working with AI-assisted development tools (Claude Code, Codex, Cursor, etc.); ability to write clear specifications, evaluate AI-generated outputs, and iterate effectively; experience with prompt engineering or context engineering is a strong plus
- Strong understanding/deep expertise of enterprise business processes and financial metrics; knowledge of standard ERPs (SAP, Oracle) and process areas (Inventory Management, Order to Cash, Procure to Pay, Accounts Payable) is a strong plus
- Ability to steer customer workshops, present findings to management, manage stakeholder expectations, and deliver outcomes in the face of adversity and ambiguity; comfortable working with both technical and business audiences
- Excellent problem-solving skills with value-driven orientation; ability to translate business requirements into technical solutions and quantify business impact
- Willingness to continuously develop expertise through experimentation; comfort with ambiguity and evolving tools
- Bachelor's or Master's in Technology Management, Business Informatics, Computer Science, Engineering, Business Administration, or comparable field
- Fluency in English required; additional languages are a plus
- Willingness to travel to customer locations up to 50% according to customer requirement and project delivery phases
