Applied Value Engineer - Eam-emea

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

Celonis is seeking an Applied Value Engineer to work with strategic customers, understanding their AI strategies and business challenges. The role involves building Celonis solutions using their Process Intelligence platform combined with AI/ML partners like OpenAI. Responsibilities include AI discovery, solutioning, rapid prototyping of LLM/Agent-based solutions, executing Proof-of-Value projects with RAG and guardrails, and demonstrating value realization to executives. The role requires hands-on Python and AI building experience, with a preference for experience in agentic systems, RAG, function calling, and prompt engineering.

What you'd actually do

  1. 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.
  2. Hackathons & Prototyping: Rapidly build creative prototypes (LLM/Agent-based) to solve business-critical problems during customer hackathons. Agentic Process Transformation: Enable a fundamental shift for our customers from traditional automation to autonomous AI agents empowered by the Celonis PI Platform.
  3. Proof Projects: Execute end-to-end Proof-of-Value (PoV) projects, including architecture, RAG, and guardrails, ensuring compliance with enterprise data and identity frameworks.
  4. Identify & Frame Value: Discover and translate customers’ strategic priorities into high-impact Celonis use cases
  5. Realize Value: Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement

Skills

Required

  • Python
  • AI building
  • consulting experience
  • customer-facing experience
  • analytical role experience
  • business data analysis
  • business process improvement
  • Software deployment
  • Business Software / SaaS applications
  • RPA
  • BI Tools
  • Dashboards
  • Apps
  • Action Flows
  • Project Management
  • Executive Stakeholder Management
  • communication skills
  • presentation skills

Nice to have

  • Process Mining tools and technologies
  • agentic systems
  • LLM orchestration
  • RAG
  • function calling
  • prompt engineering
  • evaluations
  • guardrails
  • LangChain
  • LlamaIndex
  • deploying and monitoring models at scale
  • AWS Bedrock
  • Azure AI
  • GCP Vertex
  • Domain and industry knowledge (Supply chain, finance, CPG, BFSI, Manufacturing)
  • Automotive and Manufacturing

What the JD emphasized

  • Hands-on Python, AI building and consulting experience mandate

Other signals

  • customer-facing
  • prototyping
  • AI strategy
  • LLM/Agent-based solutions
  • RAG
  • guardrails
  • value realization
  • Python
  • AI building