Job description

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: 10 y of relevant experience with 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 click here . 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. For more information, visit www.spglobal.com/ratings What’s In It For You? 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 Throughout our history, the world s leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: 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: spgbenefits.com 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. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- 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:  EEO.Compliance spglobal.com  and your request will be forwarded to the appropriate person.  US Candidates Only: Know Your Rights: Workplace discrimination is illegal ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

Requirements

Must-haves

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.
10 y of relevant experience with 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.
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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningawspythonjavadockerkubernetessqlreactjavascript

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

Wellness