AI/ML Lead Engineer – Data Services

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 brings deep expertise across critical Ratings data domains, AI/ML and Generative AI solutions, technology platforms, and architectural patterns.

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 ground up, with the autonomy and seniority to leave a lasting mark.

Responsibilities and Impact

• 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.

What We're Looking For

Basic Required Qualifications

• 10 years of professional experience designing and deploying AI, machine learning, or data-driven solutions on AWS cloud platforms, including demonstrated ownership of production-scale workloads.
• Bachelor's degree in Computer Science, Data Science, Engineering, or a 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.

Additional Preferred Qualifications

• Demonstrated use of AI orchestration frameworks — LangChain, LangGraph, CrewAI, ADK, or Strands — in production AI systems.
• Applied experience with graph technologies and graph-based algorithms in a data or analytics context.
• 3+ years of data engineering, data preparation, and feature engineering for machine learning pipelines.
• Proven experience architecting or operating data lakes or AI-ready large-scale data ecosystems.
• Proficiency in distributed computing frameworks — Apache Spark or Hadoop — at production scale.
• Demonstrated application of AI-native SDLC practices in a professional software development environment.

Compensation/Benefits Information

(This section is only applicable to US candidates)

S&P Global states that the anticipated base salary range for this position is $149,302 to $202,267. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

Right to Work Requirements

This role is limited to persons with indefinite right to work in the United States.

About S&P Global Ratings

At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organisations, including businesses, governments, and institutions.

What's In It For You?

We take care of you, so you can take care of business. We care about our people. That's why we provide everything you — and your career — need to thrive at S&P Global.

Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in‑class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards — small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries