# AI/ML Solutions Architect

**Company**: S&P Global Ratings
**Location**: New York, NY
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $149,302 – $209,000
**Category**: Engineering
**Industry**: Finance

**Apply**: https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/New-York-NY/Big-Data-Engineer-Lead_324302-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5cb5e633-579

## 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.

## Skills

### Required
- AWS
- Python
- Java
- Spring Boot
- Docker
- Kubernetes
- Git
- TensorFlow
- PyTorch
- scikit-learn
- SQL
- Generative AI
- LLM fine-tuning
- agentic AI frameworks

### Nice to have
- LangChain
- LangGraph
- CrewAI
- ADK
- Strands
- graph databases
- Neo4j
- Amazon Neptune
- React
- JavaScript
- HTML
- Apache Spark
- Hadoop
- MLflow
- Weights & Biases

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Source: [Apply at spgi.wd5.myworkdayjobs.com](https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/New-York-NY/Big-Data-Engineer-Lead_324302-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)