Associate Applied (AI) Value Engineer (Scale EMEA/German-Speaking) - Orbit Program
On-siteMadrid, Madrid, Spain
Madrid, Madrid, SpainOn-siteFull TimeEntry LevelProcess Mining SoftwareLarge
Full TimeEntry LevelLargeProcess Mining Software
Job Summary
Understand customers' AI strategy and business-critical challenges to find the best problem-solution fit. Build and code within the Celonis platform using SQL, PQL, and Python to prototype solutions for hackathons and proof-of-value projects. Articulate strategic business value through impactful presentations to senior executives and manage customer accounts until agreed adoption thresholds are reached. Specialize in domains such as supply chain and contribute reusable best practices to the Global Value Engineering Center of Excellence.
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 German and English
- Foundational business acumen and domain understanding, e.g. in areas such as Supply Chain
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
- Other (European) languages
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