Posted 4 weeks ago

Senior/ Lead AI Deployment Engineer

Celonis

Amsterdam, North Holland, Netherlands 🇳🇱

Onsite
Full Time
Python
SQL

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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: solution go-live, solution adoption, initial value realization support and the long-term success of our customers
As a Senior/ Lead AI Deployment Engineer, you are the backbone of Celonis delivery. You lead the hands-on implementation of Celonis solutions for enterprise customers, combining platform expertise with AI-augmented workflows to deliver high-quality outcomes, fast
You use Celonis’s AI deployment tools as your primary instruments - directing agents to build data models, generate analyses, and configure operational solutions, while applying your own judgment to validate outputs, adapt to customer context, and ensure business relevance
This is not a traditional consulting role where you build everything manually. You are an AI-augmented delivery professional: you specify what needs to be built, direct AI agents to execute wherever possible, validate the results, and iterate with the customer. You generate value by understanding the customer’s business, translating their needs into technical specifications and solutions, and ensuring the platform delivers measurable impact
Conduct business discovery workshops to translate customers’ strategic objectives into high-impact Celonis use cases
Collaborate with the customer’s IT and business stakeholders to define project scope, data requirements, and success criteria
Ensure data connectivity and extraction pipelines are properly configured, working with specialist resources if required
Direct AI deployment agents (Apollo) to build data models, process analyses, KPIs, and dashboards - writing clear specifications and validating agent outputs against business requirements
Build and configure Celonis solutions across the platform: Process Intelligence Graph, data transformations, process analysis, operational solutions, and AI-powered insights
Identify process inefficiencies and root causes using Celonis technology, always in close collaboration with the customer
Validate AI-generated outputs for accuracy, business relevance, and alignment with customer context - applying domain knowledge where the AI cannot
Lead value creation workshops and define measures to improve process inefficiencies
Define and build KPIs measuring the customer’s success and quantify business impact
Design and build operational solutions to drive value, adoption and improve process conformance
Enable key customer users to use and extend the solution independently, setting the foundation for long-term adoption
Manage project outcomes against timelines, scope, and customer expectations
Train and demonstrate to customer users, guiding them on the path to sustained value
Document solution design decisions and configurations for future reference and handoff
Develop and maintain deep expertise in one or more process domains (e.g., Supply Chain, Order to Cash, Procure to Pay, IT Service Management) or industry verticals
Translate domain knowledge into scalable solution patterns, reference architectures, and best practices that the broader team can leverage
Proactively identify and standardize high-value use cases within your domain, collaborating with Product and Business Apps teams to shape the platform roadmap
You work with AI agents as your primary tools - your job is to direct, validate, and refine their output, not to write every line of code or build every analysis manually
You need strong specification and context engineering skills - the ability to translate a customer’s ambiguous business need into a precise instruction that an AI agent can execute correctly
You are expected to continuously learn and adapt as AI capabilities evolve, experimenting with new approaches and sharing what works with your peers
You balance speed with quality - AI accelerates execution, but you own the judgment calls on whether the output is right for this customer
You think in sustainable software solutions. While AI agents will generate first results quickly, you need to ensure that the operational solutions you build in Celonis are robust, user friendly, maintainable, and scalable
Languages: Fluency in English required. Additional languages are a plus
Analytical mindset: Excellent problem-solving skills with a value-driven orientation. Ability to translate business requirements into technical solutions and quantify business impact
Platform skills: 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
Business and process domain expertise : Strong understanding /deep expertise (based on seniority level) 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
AI fluency: Comfort working with AI-assisted development tools (e.g., 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
Education: Bachelor’s or Master’s in Technology Management, Business Informatics, Computer Science, Engineering, Business Administration, or a comparable field
Experience: 4-7+ years in Management or IT consulting, data/solution consulting, or process improvement consulting within software vendors, consulting firms, or system integrators
Consulting skills: 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
Travel: Willingness to travel to customer location up to 50%, according to customer requirement and project delivery phases
Learning agility: Willingness to continuously develop expertise through experimentation. Comfort with ambiguity and evolving tools