Applied Value Engineer

Celonis Celonis · Data AI · Bangalore, India · Value Engineering

Celonis is seeking an Applied Value Engineer to work with strategic customers, understanding their objectives and challenges, and building Celonis solutions using their Process Intelligence platform combined with AI/ML partners like OpenAI. The role involves prototyping LLM/Agent-based solutions, enabling autonomous AI agents, executing Proof-of-Value projects with RAG and guardrails, and demonstrating value to executives to drive adoption and expansion. The role requires experience in analytical roles, business process improvement, and customer-facing experience, with a preference for hands-on experience with agentic systems, RAG, and LLM ecosystem tools.

What you'd actually do

  1. Rapidly build creative prototypes (LLM/Agent-based) to solve business-critical problems during customer hackathons.
  2. Execute end-to-end Proof-of-Value (PoV) projects, including architecture, RAG, and guardrails, ensuring compliance with enterprise data and identity frameworks.
  3. Discover and translate customers’ strategic priorities into high-impact Celonis use cases
  4. Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers
  5. Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing

Skills

Required

  • 4+ years of experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment.
  • Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy.
  • Hands-on SQL experience
  • Python
  • Experience in collaborating with IT teams.
  • Experience in identifying business use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value.
  • Experience in planning and managing project scopes, expectations and timelines.
  • Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally.
  • Excellent communication and presentation skills in English.

Nice to have

  • Hands-on Experience with Process Mining tools and technologies is preferred.
  • Domain and industry knowledge such as Supply chain, finance, CPG, BFSI, Manufacturing etc. would be a plus.
  • 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)

What the JD emphasized

  • customer-facing role
  • Hands-on Experience with Process Mining tools and technologies is preferred.
  • Hands-on SQL experience and Python
  • 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)

Other signals

  • industrialize AI
  • unlocking real ROI on AI deployments
  • autonomous AI agents
  • LLM/Agent-based prototypes
  • RAG
  • guardrails