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Senior Value Engineer - Energy Industry

3 weeks ago
United States
Full-time
Senior
AI (Artificial Intelligence)
Artificial Intelligence and Machine Learning
Databricks Machine Learning Pandas Python PyTorch Scikit-learn
Apply Now
Celonis

Celonis

Celonis is a leading company in Process Intelligence and Process Mining. Their platform, powered by process mining technology, helps businesses uncover and capitalize on value opportunities within their processes quickly and at scale. By revealing and ...

IT Services
1K-5K
Founded 2011
$2400M raised
View All Jobs 19

Description

  • Understand energy customers’ AI strategy and sector-specific challenges to identify high-value use cases.
  • Lead technical discovery and capability demonstrations during the pre-sales cycle.
  • Stay engaged after sale to support implementation, adoption, and value realization.
  • Rapidly prototype solutions in customer hackathons using advanced AI technologies.
  • Support customers in shifting from rule-based automation to autonomous AI agent use cases.
  • Execute end-to-end Proof-of-Value projects, including secure and scalable LLM/agent system delivery.
  • Integrate solutions with enterprise data, identity protocols, and energy compliance frameworks.
  • Serve as the technical subject matter expert for the Energy vertical internally and externally.
  • Scale energy domain knowledge across the organization and support strategic customer engagements.

Requirements

  • 5+ years of experience leading technical pre-sales and post-sales engagements in the Energy sector.
  • Experience defining AI roadmaps, building ROI/TCO business cases, and guiding implementations to value realization.
  • Deep understanding of Energy sector processes such as Asset Management, Field Services, Supply Chain, Capital Projects, or Trading.
  • Experience translating business needs into specific AI use cases.
  • Expertise in generative AI techniques such as RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning.
  • Solid knowledge of Python and common ML libraries such as LangChain, pandas, pydantic, sklearn, and PyTorch.
  • Experience with data engineering tools and technologies for large-scale industrial data.
  • Strong presentation skills for internal and external stakeholders, including C-level executives and operational leaders.
  • Bachelor’s degree required; Master’s degree in computer science, engineering, mathematics, or related field, or equivalent work experience preferred.
  • Hands-on experience building agentic systems with LLM orchestration, RAG, function calling, and prompt engineering is a big plus.
  • Working knowledge of LLM ecosystem tools such as LangChain, LlamaIndex, or other OSS packages is a plus.
  • Experience deploying and monitoring models at scale on AWS Bedrock, Azure AI, or GCP Vertex is a plus.
  • Familiarity with IT/OT convergence and industrial IoT data structures is a plus.
  • Visa sponsorship is not offered for this role.

Benefits

  • Restricted Stock Units (RSUs) and merit-based refresh grants.
  • 24 weeks of fully paid parental leave for primary carers and 12 weeks for supporting carers, available from day one.
  • Unlimited PTO in applicable regions and generous PTO globally.
  • Flexible hybrid work model with remote focus and office collaboration.
  • 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
  • Subsidized Wellhub memberships, mental health counseling, and Wellness Weeks.
  • Paid time off for volunteering through annual Impact Days.
  • Inclusive environment with Inclusion Think Tank and annual Inclusion Days.

Interested in this position?

Apply directly on the company website

Apply Now

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