Lead Big Data & AI Platform Engineer

S&P Global; New York (NY); On-site; USD 149,000 - 202,000; Full time

Job summary

S&P Global Ratings is seeking an expert contributor for the Data Services Team to drive AI/ML and Generative AI initiatives in cloud environments. You will partner with data scientists and engineers to design, build, and deploy scalable AI solutions, analyze large datasets, and help shape the analytics platform.

The role emphasizes collaboration, innovation, and delivering high-quality solutions within a fast-paced environment.

Qualifications

• Experience building AI/ML/data-driven solutions in cloud environments such as AWS.
• Strong Python programming skills with ML 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 ML concepts, including deep learning, NLP, and generative AI.
• Experience building or working with AI agents, autonomous workflows, or agentic AI frameworks.

Responsibilities

• 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-u002d 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.

Skills

AWS

Python

Java

Docker

Kubernetes

Git

SQL

ML concepts

AI agents

Generative AI

Tools

TensorFlow

PyTorch

scikit-learn

Job description

S&P Global Ratings is seeking an expert contributor for the Data Services Team to drive AI/ML and Generative AI initiatives in cloud environments. You will partner with data scientists and engineers to design, build, and deploy scalable AI solutions, analyze large datasets, and help shape the analytics platform.

The role emphasizes collaboration, innovation, and delivering high-quality solutions within a fast-paced environment.