Associate Solution Consultant - Orbit Program

Responsibilities

• Understand customers’ AI strategies and business-critical challenges; identify problem-solution fit and translate requirements into solutions.
• Build and code solutions on the Celonis platform using SQL, PQL, and Python.
• Rapidly prototype AI solutions in customer hackathons, including agentic systems and process transformations.
• Execute end-to-end Proof-of-Value projects and align solutions with customers’ AI strategies.
• Support customers in deploying autonomous AI agents at scale and achieving measurable ROI.
• Develop domain or industry expertise, such as supply chain.
• Present and quantify strategic business value to senior executives.
• Remain involved through project completion, adoption, and value-realization thresholds.
• Create reusable collateral, best practices, and tools for the Value Engineering Center of Excellence.
• Participate in customer engagements, training, mentoring, and account management activities.

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 combining business and technology.
• Understanding of generative AI techniques, including RAG, few-shot learning, prompt/context engineering, multi-agent orchestration, multimodal understanding, and fine-tuning.
• Good knowledge of Python, common machine-learning libraries, and data-engineering tools.
• Excellent analytical, creative problem-solving, presentation, communication, and organizational skills.
• Customer-centric mindset and confidence presenting to diverse audiences.
• Proactive, curious, self-motivated, and committed to continuous learning.
• Foundational business acumen and domain understanding, such as supply chain.
• Excellent English communication skills.

Nice to Have

• Combined technical and business education.
• Customer-facing, customer success, service, or sales experience.
• Experience with technical Proof-of-Concept projects.
• 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 experience in procurement, order management, inventory management, or production.
• Experience modeling ROI and TCO for business cases.
• Experience with SAP or Oracle ERP systems.

Compensation and Benefits

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