Senior Applied Value Engineer - CMT/CPGR

Responsibilities

• Understand customers’ AI strategies and business-critical challenges; translate requirements into innovative Celonis solutions.
• Lead customer hackathons and rapidly build prototypes using AI technologies.
• Enable agentic process transformation and help customers achieve measurable ROI from AI deployments at scale.
• Execute business-critical Proof-of-Value projects end to end, including architecture and delivery of secure, scalable LLM and agent systems with retrieval-augmented generation (RAG), tools, and guardrails.
• Integrate solutions with enterprise data, identity, and compliance frameworks.
• Remain involved through implementation, adoption, and value realization until agreed outcomes are achieved.
• Develop specialization in business domains or industries, such as supply chain or finance.

Requirements

• 6+ years of experience leading technical pre-sales, including AI roadmaps, ROI/TCO business cases, and machine learning or generative AI prototypes.
• Understanding of generative AI techniques including RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, and fine-tuning.
• Understanding of business processes across sectors and the ability to translate business needs into specific AI use cases.
• Knowledge of Python, common machine learning libraries, and data engineering tools and technologies.
• Strong presentation skills for internal and external stakeholders, including executives.
• Bachelor’s degree required. A master’s degree in computer science, engineering, mathematics, or a related field is preferred, or equivalent work experience.

Nice to Have

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, with evaluations and guardrails for safety.
• Experience with LangChain, LlamaIndex, or other open-source LLM ecosystem packages.
• Experience deploying and monitoring models at scale on AWS Bedrock, Azure AI, or Google Cloud Vertex AI.

Compensation and Benefits

• Restricted Stock Units and merit-based refresh grants for full-time employees.
• Paid parental leave, including 24 weeks for primary carers and 12 weeks for supporting carers.
• Flexible hybrid work model and paid time off.
• Learning, mentorship, and professional development programs.
• Wellbeing benefits including subsidized Wellhub memberships and mental health counseling.
• Paid volunteer time through annual Impact Days.