Description
You will join S&P Global Ratings' Data Services Team, an expert-led group at the forefront of AI/ML and Generative AI innovation.
Responsibilities and Impact:
- Architect and own the end-to-end delivery of scalable ML and Generative AI solutions.
- Design and build reusable AI platforms, model evaluation frameworks, and performance optimization tooling.
- Apply state-of-the-art GenAI technologies to complex credit ratings datasets.
- Lead technical research and adoption of emerging AI/ML technologies.
- Partner with cross-functional teams to translate complex analytical requirements into high-performance solutions.
- Define and champion AI engineering best practices, reusable capability frameworks, and technical standards.
What We're Looking For:
- Cloud AI/ML Experience: 10+ years of experience designing, building, and deploying production-grade AI, ML, or data-driven solutions in AWS cloud environments.
- Python Programming & ML Frameworks: 5+ years of Python development with production application of at least one ML framework.
- Java Engineering & Cloud Infrastructure: 3+ years of Java application development using Spring Boot in microservices architectures.
- Production AI Systems , GenAI, NLP & Data: Demonstrated delivery of at least 2 production AI systems incorporating deep learning, NLP, or Generative AI techniques.
- AI-Assisted Development Tooling: Demonstrated use of AI-assisted development tools across at least 2 shipped production projects.
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 or graph-based algorithms.
- Working proficiency in at least one front-end technology.
- 2+ years of data engineering experience including pipeline development, feature engineering, and data preparation for ML model training.
- Hands-on experience designing or operating data lakes or AI-ready data platforms.
- Experience deploying ML solutions using Apache Spark or Hadoop on datasets exceeding 1TB.
- 2+ years applying AI-native SDLC practices.
Work Arrangement: This is a hybrid role requiring a minimum of 2 days per week in our New York, NY office.
Compensation/Benefits Information: The anticipated base salary range for this position is $149,302 – $209,000.