Lead Ai/ml Engineer

S&P Global Energy

Not specified; competitive pyy mentioned; retireme...
Hybrid
7+ years software or ml engineering experience
2+ years building llm-based applications
Designing ai-ready storage layers
S&P Global Energy is seeking a Lead AI/ML Engineer to develop advanced autonomous AI workflows, focusing on agentic systems that integrate software engineering, data engineering, and machine learning. The ideal candidate should have extensive experience in building production-grade AI systems, particularly in generative AI and multi-agent architectures

Job Summary

  • This role defines how S&P Global Energy moves from static analytics to active, autonomous decision workflows by building an AI operating layer.
  • You will architect stateful, goal-driven AI systems capable of reasoning, planning, and coordinating complex tasks with appropriate controls.
  • The company offers comprehensive benefits including health care coverage, flexible downtime, continuous learning resources, and financial wellness programs.

Matching Summary

Match Score: 85

S&P Global Energy is seeking a Lead AI/ML Engineer to develop advanced autonomous AI workflows, focusing on agentic systems that integrate software engineering, data engineering, and machine learning. The ideal candidate should have extensive experience in building production-grade AI systems, particularly in generative AI and multi-agent architectures.

Salary

Not specified; Competitive pay mentioned; Retirement planning and student loan contribution available

Skills & Requirements

Must-have

  • 7+ years software or ML engineering experience
  • 2+ years building LLM-based applications
  • Designing AI-ready storage layers
  • Deploying services on major cloud platforms
  • Advanced proficiency in Python programming

Nice-to-have

  • Master's or PhD in AI or Computer Science
  • Experience with knowledge graphs and graph databases
  • Background in energy or logistics domains
  • Deep NLP experience spanning classical methods
  • Rapid prototyping of emerging AI approaches

Key Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
  • US Candidates Only requirement
  • Proven ownership of production systems

Work Rights

US Candidates Only

Tailored Resume

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