Principal NLP Engineer — Enterprise AI & Knowledge

Teradata; San Francisco (CA); Híbrido; USD 180.000 - 280.000; Jornada completa

Descripción de la vacante

Teradata is seeking a Principal NLP Engineer to own the design, development, and deployment of advanced NLP technologies powering enterprise copilots for our Autonomous Knowledge Platform. You will drive semantic understanding, information extraction, and multi-document reasoning at enterprise scale, partnering with engineers and product leaders.

The role requires leadership across LLMs, RAG, knowledge graphs, and scalable NLP pipelines, with a track record of shipping production-grade systems

Formación

• PhD or MS in Computer Science, Artificial Intelligence, ML, NLP or related field.
• 12+ years of software engineering experience, including production NLP/ML systems.
• Recognized leader in NLP, Language AI, or related areas.
• Hands-on experience deploying large-scale NLP systems in production.

Responsabilidades

• Define and execute the strategic NLP roadmap for the Teradata Knowledge Platform.
• Serve as technical authority for large-scale NLP architecture and production deployment.
• Drive enterprise NLP innovation across semantic search, retrieval, and reasoning.
• Lead architecture for enterprise copilots and autonomous agent workflows.

Conocimientos

Python

PyTorch

TensorFlow/JAX

Spark

Distributed computing

Educación

PhD or MS in CS/AI/ML/NLP

Herramientas

Hugging Face ecosystem

Vector databases

Embeddings models

Search engines

Knowledge graphs

Distributed ML infrastructure

AI observability platforms

Descripción del empleo

Teradata is seeking a Principal NLP Engineer to own the design, development, and deployment of advanced NLP technologies powering enterprise copilots for our Autonomous Knowledge Platform. You will drive semantic understanding, information extraction, and multi-document reasoning at enterprise scale, partnering with engineers and product leaders.

The role requires leadership across LLMs, RAG, knowledge graphs, and scalable NLP pipelines, with a track record of shipping production-grade systems