Associate Applied (AI) Value Engineer - Orbit Program (Madrid-based)

Job Summary

Required Qualifications

• •Degree in Engineering, Data Analytics/Science, Computer Science, Mathematics, or a related STEM field
• •Excellent academic performance
• •Extensive internship experience or 1-2 years of full-time work experience
• •Ideally at the intersection of business and technology
• •Understanding of generative AI techniques like RAG, few shot learning, prompt/context engineering, multi-agent orchestration, multimodal understanding, or fine-tuning
• •Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch)
• •Knowledge of data engineering tools and technologies
• •Excellent analytical and creative problem-solving skills
• •Ability to apply technology to business challenges
• •A customer-centric mindset with a focus on delivering value
• •Confidence in presenting to diverse audiences
• •A proactive approach to problem-solving
• •Willingness to learn from mistakes
• •Curiosity, self-motivation, a commitment to continuous learning, and the desire to thrive in a fast-paced, high-growth environment
• •Strong organizational skills with the ability to prioritize and execute on deadlines
• •Excellent communication skills
• •Fluency in English and Dutch
• •Foundational business acumen and domain understanding, e.g. in areas such as Supply Chain
• •Location: Madrid/Spain for an onboarding period of 2 years and a possible relocation to Amsterdam after
• •Customer base will be in the Benelux region, involving travel to meet clients in person
• •Building and coding within the Celonis platform (SQL, PQL and Python)
• •Scoping business and technical requirements
• •Developing industry domain knowledge
• •Delivering impactful presentations and demos
• •Understanding value selling and realization
• •Managing customer accounts
• •Think out of the box, have a can-do attitude
• •Leverage cutting edge AI technologies to rapidly build creative prototypes
• •Support customers in achieving real ROI out of AI deployments at scale
• •End-to-end execution of business-critical Proof-of-Value projects
• •Align solutions with customer AI strategy
• •Specialize in domains (e.g. supply chain) and industries
• •Articulate and quantify strategic business value for customers
• •Deliver impactful presentations to senior executives
• •Ensure successful project outcome
• •Contribute to the Global Value Engineering Center of Excellence by creating reusable collateral, best practices, and tools
• •By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process

Desired Qualifications

• •Degrees combining technical (e.g., Computer Science, Data Science) and business (e.g., Economics, Marketing) skills
• •Customer-facing, customer success/service, or sales experience
• •Hands-on experience with technical Proof of Concept projects
• •Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering
• •Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages
• •Supply Chain process experience (Procurement, Order Management, Inventory Management, Production)
• •Experience modeling ROI and TCO for business case justification
• •Experience with ERPs such as SAP and/or Oracle