Senior Applied Ai Engineer - Energy Industry

Celonis

New York, United States
On-site
Energy sector ai strategy
Generative ai techniques (rag, prompt engineering)
Python and ml libraries (langchain, pandas)
Push the envelope in solving business-critical problems for strategic customers across utilities, oil & gas, and renewable energy

Job Summary

  • Push the envelope in solving business-critical problems for strategic customers across utilities, oil & gas, and renewable energy.
  • Prototype AI solutions, demonstrate value to Energy Executives, and ensure successful implementation and adoption.
  • Support customers in achieving real ROI out of AI deployments at scale, enabling a shift to autonomous AI agents.

Matching Summary

Push the envelope in solving business-critical problems for strategic customers across utilities, oil & gas, and renewable energy.

Skills & Requirements

Must-have

  • Energy sector AI strategy
  • Generative AI techniques (RAG, prompt engineering)
  • Python and ML libraries (LangChain, pandas)
  • Energy domain business processes
  • Technical pre- and post-sales engagements

Nice-to-have

  • Agentic systems with LLM orchestration
  • LLM ecosystem tools (LangChain, LlamaIndex)
  • Deploying models at scale on cloud platforms
  • IT/OT convergence and industrial IoT data

Key Requirements

  • 5+ years of experience in Energy sector pre-sales/post-sales
  • Expertise in generative AI techniques
  • Solid knowledge of Python and ML libraries
  • Bachelor’s Degree required

Work Rights

Not specified

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