S&P Global Commodity Insights empowers organizations to create long-term, sustainable value by providing data and insights that deliver a comprehensive view of global energy and commodities markets
Job Summary
S&P Global Commodity Insights empowers organizations to create long-term, sustainable value by providing data and insights that deliver a comprehensive view of global energy and commodities markets.
You will play a crucial role in developing products for the ETSS group, leading architecture and defining enterprise and application architectures centered on data modeling and agentic AI applications.
We provide everything you—and your career—need to thrive at S&P Global, including health & wellness, flexible downtime, continuous learning, and investment in your future.
Matching Summary
S&P Global Commodity Insights empowers organizations to create long-term, sustainable value by providing data and insights that deliver a comprehensive view of global energy and commodities markets.
Skills & Requirements
Must-have
autonomous AI agent development
agentic AI / LLM application frameworks
large language models
Python programming
API design
microservices
cloud computing
Nice-to-have
AI safety and alignment concepts
ethical AI design principles
multi-agent coordination
enterprise settings
knowledge graphs
vector search
Key Requirements
10+ years of experience in application development
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
Proven hands-on experience with ETL, CI/CD, and production operations