GenAI Lead Data Scientist — Enterprise AI Architect

Norfolk Southern

Atlanta (GA)

Hybrid

USD 150,000 - 210,000

Full time

8 hours ago
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Job summary

Norfolk Southern seeks a Lead Generative AI Data Scientist to architect enterprise GenAI solutions, integrating LLMs and RAG workflows across business units. You will design modular pipelines with LangChain/LlamaIndex, define prompting strategies, and drive responsible AI governance.

The role requires 5+ years in GenAI/NLP, production-grade AI deployments, and strong Python/ML toolkit expertise. Hybrid work model in a large enterprise environment is offered.

Qualifications

  • Bachelor's degree in computer science, data science, machine learning, NLP, AI, linguistics, or related field required; Masters or PhD preferred.

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 adoption.
  • Oversee lifecycle of use cases from development to deployment 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
LLMs in production
Python
Scikit-learn
PyTorch
Pandas
NumPy
Spacy/NLTK
SQL
NoSQL

Education

Bachelor's in CS/DS/ML

Tools

Docker
Kubernetes
CI/CD
Git
Terraform
LangChain
LlamaIndex

Job description

Norfolk Southern seeks a Lead Generative AI Data Scientist to architect enterprise GenAI solutions, integrating LLMs and RAG workflows across business units. You will design modular pipelines with LangChain/LlamaIndex, define prompting strategies, and drive responsible AI governance.

The role requires 5+ years in GenAI/NLP, production-grade AI deployments, and strong Python/ML toolkit expertise. Hybrid work model in a large enterprise environment is offered.

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