Principal NLP Engineer - Enterprise AI & Knowledge Graphs

Teradata; Hartford (CT); On-site; USD 183,000 - 274,000; Full time

Benefits offered by this job

Flexible work model

Health benefits

Job summary

Teradata seeks a Principal NLP Engineer to own the design, development, and deployment of advanced NLP technologies for Context Engine, the company’s Autonomous Knowledge Platform. You will lead semantic understanding, knowledge graphs, and agentic AI at enterprise scale.

You’ll drive research-to-production efforts across LLMs, retrieval, and multi-modal reasoning, mentoring teams and shaping best practices in NLP engineering.

Qualifications

• PhD or MS in CS/AI/ML or related field.
• 12+ years of software engineering experience, including production NLP/ML systems.
• Recognized leader in Natural Language Processing, Language AI, Search, Retrieval, or LLM-based systems.

Responsibilities

• Define and execute the NLP roadmap for the Knowledge Platform.
• Lead NLP architecture and production deployment at enterprise scale.
• Design and build NLP systems: entity/relationship/info extraction, document understanding, semantic indexing, context representation, summarization, QA, conversational AI.
• Develop LLM-based retrieval-augmented generation and agentic AI workflows.
• Mentor engineers and establish NLP engineering best practices across the company.

Skills

NLP

Python

PyTorch

TensorFlow/JAX

Spark

Education

MS/PhD in CS/AI/ML

Tools

Hugging Face ecosystem

Spark

Distributed computing

Job description

Teradata seeks a Principal NLP Engineer to own the design, development, and deployment of advanced NLP technologies for Context Engine, the company’s Autonomous Knowledge Platform. You will lead semantic understanding, knowledge graphs, and agentic AI at enterprise scale.

You’ll drive research-to-production efforts across LLMs, retrieval, and multi-modal reasoning, mentoring teams and shaping best practices in NLP engineering.