Senior NLP Architect for Enterprise Knowledge & AI

Teradata; Bismarck (ND); Hybrid; USD 183,000 - 274,000; Full time

Benefits offered by this job

Flexible work model

Healthcare, life & disability保险

401(k) retirement plan

Job summary

Teradata seeks an exceptional Principal NLP Engineer to lead the design, development, and deployment of advanced NLP technologies powering their Context Engine and enterprise AI platform. You will drive capabilities from research to production across semantic understanding, retrieval, and knowledge extraction at enterprise scale.

Ideal candidates have deep NLP expertise, experience with transformer architectures, RAG, and multi-modal understanding, and a track record of delivering production

Qualifications

• PhD or MS in CS/AI/ML/NLP or related field.
• 12+ years of software engineering experience, including 8+ years building production NLP/ML systems.
• Recognized industry leader in Natural Language Processing, Language AI, Search, Retrieval, or LLM-based systems.
• Hands-on experience deploying large-scale NLP systems.

Responsibilities

• Define and execute NLP strategy across our Knowledge Platform.
• Serve as technical authority for large-scale NLP architecture and deployment.
• Design and build advanced NLP systems: entity extraction, relation extraction, information extraction, document understanding, semantic indexing, context understanding and representation, text classification, topic modeling, summarization, QA, conversational AI, grounding, multi-document reasoning.

Skills

Python

PyTorch

TensorFlow/JAX

Spark

Distributed computing frameworks

Education

PhD or MS in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, NLP, or related field

Tools

Hugging Face ecosystem

Fine-tuning frameworks

Large-scale model evaluation

Vector databases

Embedding models

Search engines

Knowledge graphs

Distributed ML infrastructure

AI observability platforms

Job description

Teradata seeks an exceptional Principal NLP Engineer to lead the design, development, and deployment of advanced NLP technologies powering their Context Engine and enterprise AI platform. You will drive capabilities from research to production across semantic understanding, retrieval, and knowledge extraction at enterprise scale.

Ideal candidates have deep NLP expertise, experience with transformer architectures, RAG, and multi-modal understanding, and a track record of delivering production