About the Role:Grade Level (for internal use):
12
The Team:
You will be an expert contributor within the Ratings Organization's Data Services Team. Our team brings deep expertise across critical Ratings data domains, AI/ML and Generative AI solutions, technology platforms, and architectural patterns. Through collaboration, innovation, and knowledge sharing, we help drive a unified strategy and deliver scalable solutions that create business value.
Data Services team members play a key role in providing technical leadership, fostering innovation, and delivering impactful solutions. This is a unique opportunity to contribute to and help shape the next generation of S&P Ratings' analytics platform.
Responsibilities and Impact:
- Partner with business stakeholders to gather requirements, define use cases, and plan solution delivery.
- Collaborate with data scientists and software engineers to design, build, and deploy scalable machine learning and generative AI solutions.
- Analyze large datasets and develop data-driven insights to improve business outcomes.
- Build platforms, services, and tooling to optimize, evaluate, and fine-tune machine learning models for performance and scalability.
- Research and apply emerging AI and machine learning technologies to enhance existing solutions and drive innovation.
- Work closely with cross-functional teams to deliver high-quality, reliable solutions in a fast-paced environment.
- Contribute to the development of best practices, technical standards, and reusable AI capabilities across the organization.
What We're Looking For:
Basic Required Qualifications:
- Experience building AI, machine learning, or data-driven solutions in cloud environments such as AWS.
- Strong Python programming skills with experience using machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Hands-on experience developing applications with Java and Spring Boot.
- Experience working with containerized and virtualized environments, including Docker, Kubernetes, and virtual machines.
- Familiarity with modern AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar platforms.
- Experience using version control systems such as Git.
- Strong knowledge of SQL and experience working with structured and unstructured datasets.
- Understanding of machine learning concepts, including deep learning, natural language processing, and generative AI.
- Experience building or working with AI agents, autonomous workflows, or agentic AI frameworks.
Additional Preferred Qualifications:
- Experience with AI frameworks such as LangChain, LangGraph, CrewAI, ADK, Strands, or similar technologies.
- Experience with graph technologies and graph-based algorithms.
- Familiarity with front-end technologies such as React, JavaScript, HTML, or comparable frameworks.
- Experience in data engineering, data preparation, and feature engineering.
- Experience working with data lakes, AI-ready data platforms, or large-scale data ecosystems.
- Experience building machine learning solutions using distributed computing frameworks such as Apache Spark, Hadoop, or similar technologies.
- Knowledge of modern AI-native software development lifecycle (SDLC) practices.
Compensation/Benefits Information (US Applicants Only):
S&P Global states that the anticipated base salary range for this position is $149,302 – $202,267. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please .
