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Senior Consultant, Value Engineering - Public Sector

CCelonis
Seniority
Senior
Model
Remote
Sector
B2B SaaS
Salary
Undisclosed
Contract
Full-Time

About the role

As a Senior Value Engineer for the Public Sector account team at Celonis you are pushing the envelope in solving business-critical problems. You will be working with our most strategic customers understanding their objectives and key challenges, and building Celonis solutions using the world's leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks.

What you'll do

  • AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
  • Hackathons & Prototyping: Think out of the box, have a "can-do" attitude and don't shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
  • Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
  • Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks
  • Ensure Successful Project Outcome: Value Engineers stay involved with projects until agreed value & adoption thresholds are reached

What you'll need

  • 5+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions
  • Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors
  • Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases
  • Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies
  • Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos
  • Excellent communication and presentation skills in English and German. The role requires a high level of fluency in German

Nice to have

  • Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails
  • Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages
  • Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)
  • Security Certification (Sicherheitsüberprüfung) up to SÜ2

What they offer

  • Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants
  • Unrivaled Family Support: 24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day
  • Work-Life Integration: Unlimited PTO (in applicable regions) and flexible hybrid work model
  • Continuous Growth: 70-20-10 learning framework, mentorship programs, and dedicated learning platform
  • Holistic Well-being: Subsidized Wellhub memberships, mental health counseling, and Wellness Weeks
  • Impact Days: Paid time off to volunteer for community and environmental causes
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