Lead AI/ML Engineer

1105 STANDARD & POOR'S FINANCIAL SERVICE; New York (NY); Hybrid; USD 149,000 - 209,000; Full time

Benefits offered by this job

Health & Wellness benefits

Flexible downtime

Continuous learning opportunities

Invest in your future

Family-friendly perks

Competitive compensation

Job summary

S&P Global Ratings is seeking an experienced AI/ML Architect to lead the design and delivery of scalable GenAI solutions on AWS. You will partner with data scientists, software engineers and analysts to translate complex requirements into production-grade platforms that power critical credit analytics.

This hybrid role in New York requires 10+ years in cloud AI/ML, with hands-on Python and Java experience, and a track record of deploying end-to-end AI systems at scale.

Qualifications

• 10+ years designing, building and deploying production-grade AI/ML solutions in AWS cloud environments.
• 5+ years Python development with ML framework in end-to-end pipelines.
• 3+ years Java with Spring Boot in microservices and 3+ years Docker/Kubernetes with Git CI/CD.
• Production AI systems using deep learning, NLP, GenAI techniques and SQL-based data management.
• Experience with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code) on multiple projects.
• Hands-on experience with agentic AI frameworks or autonomous workflow architectures.
• Familiarity with LangChain, LangGraph, CrewAI, ADK, or Strands is a plus.
• Experience with graph databases or graph-based ML feature pipelines is a plus.

Responsibilities

• Architect and own end-to-end delivery of scalable ML/GenAI solutions on AWS.
• Collaborate with data scientists, software engineers and analysts to translate requirements into production-grade systems.
• Design reusable AI platforms, evaluation frameworks and performance tools.
• Apply GenAI technologies to credit ratings datasets to inform global market decisions.
• Lead adoption of AI engineering best practices and technical standards.

Skills

Cloud AI/ML Experience

Python ML Frameworks

Java & Spring Boot

GenAI & NLP

AI Development Tooling

Tools

SageMaker

Bedrock

Glue

Job description

About the Role:

Grade Level (for internal use): 12

The Team:

You will join S&P Global Ratings' Data Services Team - an expert-led group at the forefront of AI/ML and Generative AI innovation, bringing deep expertise across critical Ratings data domains, technology platforms, and architectural patterns. We operate with a clear mandate: to deliver the next generation of S&P Ratings' analytics infrastructure through technical rigor, collaborative innovation, and the translation of cutting-edge AI research into reliable, production-grade systems. This is a unique opportunity to help architect and shape the AI capabilities that inform credit decisions relied upon by global markets every day.

Responsibilities and Impact:

Architect and own the end-to-end delivery of scalable ML and Generative AI solutions - from requirements definition with senior business stakeholders through to production deployment on AWS - directly shaping S&P Ratings' next-generation analytics platform. Design and build reusable AI platforms, model evaluation frameworks, and performance optimization tooling used across the Ratings organization, establishing the technical standards that power enterprise-wide innovation. Apply state-of-the-art GenAI technologies - including agentic AI frameworks, LLM fine-tuning, and retrieval-augmented generation - to complex credit ratings datasets, producing data-driven insights that directly inform global market decisions. Lead technical research and adoption of emerging AI/ML technologies, driving a measurable improvement in the quality, scalability, and performance of existing Ratings analytics solutions. Partner with cross-functional teams of data scientists, software engineers, and business analysts to translate complex analytical requirements into high-performance, production-grade solutions delivered within agreed timelines. Define and champion AI engineering best practices, reusable capability frameworks, and technical standards that will govern the Data Services team's contribution to S&P Global Ratings for years to come.

Basic Required Qualifications:

• Cloud AI/ML Experience 10+ years of experience designing, building, and deploying production-grade AI, ML, or data-driven solutions in AWS cloud environments (e.g., SageMaker, Bedrock, or Glue), with end-to-end ownership from solution architecture through live operation.
• Python Programming & ML Frameworks 5+ years of Python development with production application of at least one ML framework (TensorFlow, PyTorch, or scikit-learn) within end-to-end model training, evaluation, and deployment pipelines.
• Java Engineering & Cloud Infrastructure 3+ years of Java application development using Spring Boot in microservices architectures, combined with 3+ years deploying and managing containerized workloads using Docker and Kubernetes in cloud-hosted environments, with active use of Git-based CI/CD workflows.
• Production AI Systems - GenAI, NLP & Data Demonstrated delivery of at least 2 production AI systems incorporating deep learning, NLP, or Generative AI techniques, with applied SQL-based management of structured and unstructured datasets at enterprise scale, and hands-on development using agentic AI frameworks or autonomous workflow architectures.
• AI-Assisted Development Tooling Demonstrated use of AI-assisted development tools (GitHub Copilot, Cursor, or Claude Code) across at least 2 shipped production projects, integrated within a structured team-based software development lifecycle.

Additional Preferred Qualifications:

• Delivered at least 1 production or near-production agentic AI system using LangChain, LangGraph, CrewAI, ADK, or Strands.
• 2+ years of hands-on experience implementing graph databases (e.g., Neo4j, Amazon Neptune) or graph-based algorithms within data engineering or ML feature pipelines.
• Working proficiency in at least one front-end technology (React, JavaScript, or HTML) demonstrated through integration of ML model outputs into a user-facing application.
• 2+ years of data engineering experience including pipeline development, feature engineering, and data preparation for ML model training in a cloud environment.
• Hands-on experience designing or operating data lakes or AI-ready data platforms (e.g., AWS Lake Formation, Databricks, or Snowflake) at enterprise scale.
• Experience deploying ML solutions using Apache Spark or Hadoop on datasets exceeding 1TB in a distributed cloud environment.
• 2+ years applying AI-native SDLC practices including automated model evaluation pipelines, experiment tracking (e.g., MLflow or Weights & Biases), and model versioning within a team-based CI/CD workflow.

Work Arrangement:

This is a hybrid role requiring a minimum of 2 days per week in our New York, NY office. Specific in-office days are agreed with your hiring manager to support team collaboration and delivery.

Right to Work Requirements

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

Compensation/Benefits Information (US Applicants Only)

S&P Global states that the anticipated base salary range for this position is $149,302 - $209,000. 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.

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 organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide - so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership

Benefits:

• 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.

Global Hiring and Opportunity at S&P Global

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:[e-mail] your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal.

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