Senior AI/ML Platform Lead Engineer

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

Benefits offered by this job

Health & Wellness

Flexible Downtime

Continuous Learning

Invest in Your Future

Family Friendly Perks

Beyond the Basics

Job summary

S&P Global Ratings' Data Services team is building the next generation of analytics platforms, combining AI/ML, Generative AI, and scalable cloud architectures. We are a tight-knit group of engineers, data scientists, and architects who hold ourselves to the highest standards of precision and scalability — because the platforms we build underpin decisions that move global markets.

This is a rare opportunity to help architect the next generation of S&P Ratings' analytics platform from the

Qualifications

• 10 years of professional experience designing and deploying AI, ML, or data-driven solutions on AWS cloud platforms.
• Bachelor's degree in Computer Science, Data Science, Engineering, or related quantitative discipline.
• Minimum 3 years of Python development in production environments, using ML frameworks TensorFlow, PyTorch, or scikit-learn; plus expert-level SQL proficiency across structured and unstructured datasets.
• 5+ years of Java application development with Spring Boot; production-grade deployment experience with Docker and Kubernetes in containerised environments.
• Demonstrated production experience building or deploying AI agents, autonomous workflows, or agentic AI frameworks; with applied expertise in deep learning, NLP, and generative AI principles.

Responsibilities

• Define and deliver scalable AI and machine learning solutions by partnering directly with business stakeholders to translate complex Ratings data requirements into production-grade architectures.
• Architect and deploy end-to-end ML and Generative AI pipelines — from ideation to production — in close collaboration with cross-functional data science and engineering teams.
• Drive measurable business outcomes by analysing large-scale Ratings datasets and generating data-driven insights that directly inform analytical and operational decisions.
• Build and optimise the platforms, services, and tooling that evaluate, fine-tune, and scale machine learning models for enterprise performance and reliability.
• Set the technical standard — champion best practices, reusable AI capabilities, and modern engineering standards across the Data Services organisation.
• Accelerate innovation by researching and applying emerging AI and machine learning technologies that keep S&P Ratings at the frontier of the market.

Skills

AWS cloud platforms

Python development

SQL proficiency

Java development (Spring Boot)

Docker & Kubernetes

AI agents / autonomous workflows

NLP / Generative AI

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related quantitative discipline

Tools

TensorFlow

PyTorch

scikit-learn

LangChain

LangGraph

CrewAI

ADK

Strands

Apache Spark

Hadoop

SQL

Job description

S&P Global Ratings' Data Services team is building the next generation of analytics platforms, combining AI/ML, Generative AI, and scalable cloud architectures. We are a tight-knit group of engineers, data scientists, and architects who hold ourselves to the highest standards of precision and scalability — because the platforms we build underpin decisions that move global markets.

This is a rare opportunity to help architect the next generation of S&P Ratings' analytics platform from the