Principal NLP Engineer - Flexible Enterprise Copilots

Teradata; Salt Lake City (UT); Sur place; USD 183 000 - 274 000; Plein temps

Résumé du poste

Teradata seeks a Principal NLP Engineer to lead the design, development, and deployment of advanced natural language technologies for the Context Engine and Autonomous Knowledge Platform. You will own end-to-end NLP capabilities, from research to production, across LLMs, retrieval, and knowledge graphs.

The role combines hands-on coding with architectural leadership, mentoring, and collaboration with data scientists, engineers, and product leaders to deliver enterprise-grade AI at scale.

Qualifications

• PhD or MS in CS/AI/NLP or related field
• 12+ years of software engineering experience
• Recognized leader in NLP, language AI, search or IR
• Hands-on experience deploying large-scale NLP systems

Responsabilités

• Define and execute the NLP roadmap for the Knowledge Platform
• Serve as technical authority for large-scale NLP architecture and deployment
• Drive innovation in semantic search, retrieval, knowledge extraction and AI reasoning
• Design NLP pipelines for enterprise knowledge graphs and multi-document reasoning
• Build scalable NLP systems processing large volumes of enterprise content
• Lead architecture for enterprise copilots and agentic AI

Connaissances

Python

PyTorch

TensorFlow/JAX

Spark

Distributed computing frameworks

Formation

PhD or MS in Computer Science, AI, ML, NLP, or related field

Outils

Hugging Face ecosystem

Fine-tuning/adaptation frameworks

Large-scale model evaluation

Vector databases

Embedding models

Search engines

Knowledge graphs

Distributed ML infrastructure

AI observability/evaluation platforms

Description du poste

Teradata seeks a Principal NLP Engineer to lead the design, development, and deployment of advanced natural language technologies for the Context Engine and Autonomous Knowledge Platform. You will own end-to-end NLP capabilities, from research to production, across LLMs, retrieval, and knowledge graphs.

The role combines hands-on coding with architectural leadership, mentoring, and collaboration with data scientists, engineers, and product leaders to deliver enterprise-grade AI at scale.