Applied Value Engineer

Celonis Celonis · Data AI · New York, NY +2 · Value Engineering

This role focuses on applying AI and ML technologies, particularly generative AI and agentic systems, to solve business-critical problems for enterprise customers using the Celonis Process Intelligence platform. The engineer will prototype, build, and ensure the successful implementation and adoption of these solutions, integrating with existing enterprise systems and focusing on delivering tangible ROI and scaling AI deployments.

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: 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
  3. 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
  4. 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.
  5. Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached

Skills

Required

  • Python
  • LangChain
  • pandas
  • pydantic
  • sklearn
  • PyTorch
  • RAG
  • prompt engineering
  • multi-agent orchestration
  • multimodal understanding
  • fine-tuning
  • LLM orchestration
  • function calling
  • evaluations
  • guardrails

Nice to have

  • LangChain
  • LlamaIndex
  • AWS Bedrock
  • Azure AI
  • GCP Vertex

What the JD emphasized

  • 7+ years of experience leading technical pre-sales
  • Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning
  • Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.

Other signals

  • industrialize AI unlocking real ROI on AI deployments and at scale
  • prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization
  • 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.