Senior NLP Architect for Enterprise-Scale AI

Teradata; Olympia (WA); Sur place; USD 183 000 - 274 000; Plein temps

Résumé du poste

Teradata is seeking a Principal NLP Engineer to own and lead the design, development, and deployment of advanced natural language technologies powering enterprise knowledge platforms. You will shape NLP architecture, information retrieval, knowledge grounding, and agentic AI at enterprise scale.

This deeply hands-on technical leadership role requires shipping production systems that handle billions of documents and millions of users.

Qualifications

• PhD or MS in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, NLP, or related field.
• 12+ years of software engineering experience, including 8+ years building production NLP and machine learning systems.
• Recognized industry leader in Natural Language Processing, Language AI, Search, Retrieval, or LLM-based systems.

Responsabilités

• Define and execute the strategic roadmap for NLP and language understanding capabilities across the Knowledge Platform.
• Serve as the technical authority for large-scale NLP architecture, algorithms, and production deployment.
• Drive innovation in enterprise language understanding, semantic search, retrieval systems, knowledge extraction, and AI reasoning.
• Design and build advanced NLP systems for entity extraction, relationship extraction, information extraction, document understanding, semantic indexing, context understanding, text classification, topic modeling, summarization, question answering, and conversational AI.

Connaissances

NLP

Knowledge graphs

Entity extraction

Relation extraction

Text understanding

Long-context understanding

Transformer architectures

Retrieval-Augmented Generation

Multi-document reasoning

Python

PyTorch

Formation

PhD in CS/AI/ML/NLP or related field

Outils

Hugging Face ecosystem

Spark

Description du poste

Teradata is seeking a Principal NLP Engineer to own and lead the design, development, and deployment of advanced natural language technologies powering enterprise knowledge platforms. You will shape NLP architecture, information retrieval, knowledge grounding, and agentic AI at enterprise scale.

This deeply hands-on technical leadership role requires shipping production systems that handle billions of documents and millions of users.