B4 Lead Data Scientist (GenAI)
About The Position
Norfolk Southern Corporation is seeking a Lead Data Scientist (GenAI) to join our enterprise AI team. This role focuses on developing, optimizing, and enhancing intelligent solutions using Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) servers. The ideal candidate will partner with technical and business leaders across the enterprise to deliver scalable, secure, and high-performing AI capabilities that drive business value. The position involves working with cloud-based platforms, modern AI/ML frameworks, and collaborating across business units to solve complex problems. What kind of problems do we solve: • Document Intelligence: Analyze and extract insights from thousands of corporate documents, reports, and operational data using advanced NLP techniques.• Conversational AI: Build intelligent chat systems that help employees retrieve information and interact with enterprise data.• GenAI Solutions: Creating and deploying Generative AI models for document processing, visual data analysis, and natural language understanding.• Model Context Protocol (MCP): Enhance AI agent capabilities through custom tool integrations and context-aware servers.
Requirements
- 4-7+ years of experience in Data Science, Machine Learning, NLP or AI positions.
- Extensive background in building, finetuning and operationalizing large language models (LLMs) in production environment.
- Proficiency in Python, including libraries such as Scikit-learn, PyTorch, Pandas, NumPy, spaCy, NLTK, and Matplotlib.
- Skilled in SQL, NoSQL, Milvus, Pinecone, PGVector databases
- Bachelor’s in computer science, data science, machine learning, NLP, AI, linguistics, or related field required.
Nice To Haves
- Advanced degree, e.g., Ph.D. or M.S. computer science, data science, machine learning, NLP, AI, linguistics, or related field preferred.
- Highly experienced in creating Agentic LLMs and knowledge of orchestration frameworks such as LangGraph.
- NLP and AI/ML Frameworks: Experience with training NLP models from scratch, working with Large Language Models, and using libraries such as spaCy, NLTK, and Transformers.
- Highly experienced with cloud platforms, preferably AWS (ECS, S3, Lambda, Bedrock, OpenSearch), Databricks, and Datadog.
- DevOps knowledge: Docker, Kubernetes, CI/CD, Git, Terraform.
Responsibilities
- Lead design and architecture of enterprise GenAI solutions tailored to business use cases.
- Design modular, framework‑agnostic LLM pipelines using libraries such as LangChain, LlamaIndex, or similar
- Define prompting strategies, agent patterns, and RAG architectures. Ensure approaches are scalable, reusable company‑wide and drive adoption across teams.
- Oversee lifecycle of usecases: Development to Deployment to Production and MLops.
- Ensure responsible AI practices, including explainability, governance, and compliance.
- Evaluate emerging AI trends and help guide the adoption of high value innovations.
- Collaborate with cross-functional teams to understand business needs and deliver configurable, scalable solutions.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
