Intern Deployment Engineer - Data & AI

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. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. 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 team pairs 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.

The Role

As an intern, you will have the unique opportunity to learn and grow through hands-on experiences. Your role will involve utilizing our cutting-edge AI deployment tools to develop innovative solutions for our customers, together with more experienced Deployment Engineers. This is not a traditional engineering role where you build everything manually. You will be introduced to AI-augmented and business-focused software delivery: helping specify what needs to be built, learning to direct AI agents to execute, and assisting in validating the results. Participation in team meetings and workshops will offer valuable insights into the decision-making process within the company. The Work You’ll Do Initiate and Connect Conduct customer-facing sessions with experienced Deployment Engineers to discuss ongoing projects, translate strategic objectives into use cases, and receive guidance on best practices. Assist in gathering and organizing relevant data from various sources, ensuring data accuracy and consistency for analysis. Build Learn to direct AI deployment agents (like Apollo) to build data models, process analyses, KPIs, and dashboards by helping to write clear specifications. Conduct exploratory , utilizing Celonis and other tools to uncover trends, process inefficiencies, and root causes. Assist in defining the initial solution design blueprint and configuring operational solutions across the platform. Value & Rollout Support the validation of AI-generated outputs for accuracy and business relevance alongside senior team members. Help develop and maintain KPIs to track the success of project initiatives and quantify business impact. Assist in documenting solution design decisions and configurations for future reference and customer handover. What Makes This Role Different in the AI Era You will learn to work with as your primary tools, focusing on validating and refining their output rather than writing every line of code manually. You will develop foundational specification and context engineering skills to help translate business needs into precise AI instructions. As you navigate a fast-paced environment, you will learn how to adapt quickly to changes and new approaches as AI capabilities evolve. The Qualifications You Need Student of Technology Management, Business (-Informatics), Computer Science, Engineering, Economics, or a comparable degree program with outstanding performance. Know-how in Business Intelligence, , and a foundational understanding of enterprise business processes. Experience in programming and working with databases; knowledge in SQL, Python, or related coding- and/or database query languages. Curiosity and basic familiarity with AI-assisted development tools, coupled with an eagerness to learn prompt/context engineering. Interest in working with customers, along with awesome presentation and communication skills. Ability to demonstrate initiative, work independently, and think outside of the box. Fluent in English and German (any additional language is a plus). At least 5 months of full-time availability.