Associate Applied AI Value Engineer - Orbit Program

Responsibilities

• Understand customers’ AI strategies and business-critical challenges, identify problem-solution fit, and translate requirements into innovative Celonis solutions.
• Rapidly build creative prototypes using AI technologies during customer hackathons.
• Support customers in scaling autonomous AI agents through Celonis Process Intelligence.
• Execute business-critical Proof-of-Value projects end to end.
• Develop expertise in selected domains or industries, such as supply chain.
• Present and quantify strategic business value to senior executives.
• Remain involved through project adoption and agreed value-realization thresholds.
• Create reusable collateral, best practices, and tools for the Global Value Engineering Center of Excellence.
• Build and code within the Celonis platform using SQL, PQL, and Python.
• Scope business and technical requirements, handle objections, deliver presentations and demos, and manage customer accounts.
• Travel across EMEA, with a focus on the DACH area, to meet clients in person.

Requirements

• Degree in Engineering, Data Analytics or 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, including RAG, few-shot learning, prompt/context engineering, multi-agent orchestration, multimodal understanding, or fine-tuning.
• Good knowledge of Python, common machine-learning libraries, and data-engineering tools and technologies.
• Excellent analytical and creative problem-solving skills.
• Customer-centric mindset and confidence presenting to diverse audiences.
• Proactive, curious, self-motivated, organized, and committed to continuous learning.
• Excellent communication skills and fluency in German and English.
• Foundational business acumen and domain understanding, such as supply chain.

Nice to Have

• Combined technical and business education.
• Customer-facing, customer success, service, or sales experience.
• Technical proof-of-concept experience.
• Experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering.
• Experience with LangChain, LlamaIndex, or other open-source LLM packages.
• Supply chain process experience, including procurement, order management, inventory management, or production.
• Experience modeling ROI and TCO for business-case justification.
• Experience with SAP or Oracle ERP systems.

Compensation and Benefits

• Restricted Stock Units and merit-based refresh grants for full-time employees.
• Inclusive parental leave: 24 weeks for primary carers and 12 weeks for supporting carers.
• Unlimited PTO in applicable regions and generous PTO globally.
• Flexible hybrid work model.
• Learning and development through the 70-20-10 learning framework, mentorship programs, and dedicated learning resources.