Senior Applied Value Engineer – Automotive Manufacturing

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

Celonis is seeking a Senior Applied Value Engineer for their Automotive Manufacturing vertical. This role involves partnering with strategic clients to understand their objectives and build innovative solutions using Celonis' Process Intelligence platform combined with AI/ML technologies. The engineer will prototype solutions, demonstrate value, and ensure successful implementation, focusing on agentic process transformation and delivering LLM/agent systems with RAG and guardrails within regulated manufacturing environments.

What you'd actually do

  1. AI Discovery & Solutioning: Understand customers' AI strategies and sector-specific challenges (e.g., predictive maintenance, supply chain resilience, quality management). Find the best problem-solution fit and translate customer requirements into innovative, needle-moving solutions.
  2. Pre- and Post-Sales Execution: Drive the full customer lifecycle. Lead technical discovery and capability demonstrations during pre-sales, and remain deeply involved post-sale to guide implementation and ensure agreed value and adoption thresholds are met.
  3. Hackathons & Prototyping: Leverage cutting-edge AI technologies to rapidly build creative prototypes during customer hackathons. Solve critical pain points specific to supply chain, manufacturing, and warranty/quality with a proactive, "can-do" approach.
  4. Agentic Process Transformation: Shift customers from traditional, rule-based automation to autonomous AI agents empowered by Process Intelligence (e.g., intelligent production scheduling, autonomous procurement), ensuring real ROI on AI deployments.
  5. Proof Projects: Architect and execute business-critical Proof-of-Value projects. Deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails, integrating seamlessly with enterprise data, identity protocols, and stringent manufacturing compliance frameworks.

Skills

Required

  • Python
  • LangChain
  • pandas
  • pydantic
  • sklearn
  • PyTorch
  • data engineering tools
  • manufacturing business processes
  • Asset Management
  • Supply Chain
  • Quality Control
  • Capital Projects
  • presentation skills
  • storytelling skills
  • technical whiteboarding sessions
  • formal readouts
  • live demos

Nice to have

  • LLM orchestration
  • RAG
  • function calling
  • prompt engineering
  • LangChain
  • LlamaIndex
  • AWS Bedrock
  • Azure AI
  • GCP Vertex
  • IT/OT convergence
  • industrial IoT data structures
  • GenAI techniques
  • few-shot learning
  • multi-agent orchestration
  • multimodal understanding
  • fine-tuning

What the JD emphasized

  • stringent manufacturing compliance frameworks
  • rigorous evaluations for highly regulated industries

Other signals

  • industrialize AI
  • unlock real ROI at scale
  • industrial manufacturing
  • autonomous AI agents
  • secure, scalable LLM/agent systems
  • stringent manufacturing compliance frameworks