GenAI Lead Data Scientist (Hybrid)

Norfolk Southern Corp.; Atlanta (GA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Norfolk Southern Corp. is seeking a Lead Data Scientist (GenAI) to advance enterprise GenAI capabilities across the organization.

You will lead the design of scalable LLM pipelines and responsible AI initiatives, partnering with business units to deliver secure, high-performing AI solutions on cloud platforms. The role requires 5+ years in GenAI/ML/NLP, strong Python skills, and hands-on experience with LLMs in production.

Qualifications

• Bachelor’s required in computer science, data science, machine learning, NLP, AI, linguistics.
• Masters or PhD preferred.
• 5+ years GenAI/ML/NLP experience.
• Experience building LLMs in production.

Responsibilities

• Lead design and architecture of enterprise GenAI solutions tailored to business use cases.
• Design modular, framework‑agnostic LLM pipelines using LangChain, LlamaIndex, or similar.
• Define prompting strategies, agent patterns, and RAG architectures for scalable, reusable adoption.
• Oversee lifecycle of usecases from development to deployment to production and MLOps.
• Ensure responsible AI practices including explainability, governance, and compliance.
• Evaluate emerging AI trends and guide adoption of high-value innovations.
• Collaborate with cross-functional teams to deliver configurable, scalable solutions.

Skills

GenAI Experience

LLM Production

Python Proficient

NLP/ML Expertise

SQL NoSQL

Education

Bachelor's in CS/DS/ML/NLP/AI

Masters or PhD preferred

Tools

LangChain

LlamaIndex

LangGraph

AWS

Databricks

Datadog

Docker

Kubernetes

Terraform

PGVector

Job description

Norfolk Southern Corp. is seeking a Lead Data Scientist (GenAI) to advance enterprise GenAI capabilities across the organization.

You will lead the design of scalable LLM pipelines and responsible AI initiatives, partnering with business units to deliver secure, high-performing AI solutions on cloud platforms. The role requires 5+ years in GenAI/ML/NLP, strong Python skills, and hands-on experience with LLMs in production.