Enterprise NLP Architect for AI & Knowledge Platforms

Teradata; Carson City (NV); Hybrid; USD 183,000 - 274,000; Full time

Job summary

Teradata seeks a Principal NLP Engineer to own and lead NLP design, development, and deployment for the Context Engine within the Autonomous Knowledge Platform. This hands-on leadership role requires deep expertise across classical NLP, transformers, retrieval, knowledge extraction, and large language model systems.

You will shape the roadmap, drive enterprise language understanding, and mentor engineers while delivering scalable NLP solutions for billions of documents and large user bases.

Qualifications

• PhD or MS in Computer Science, AI, ML, Computational Linguistics, NLP, or related field.
• 12+ years of software engineering experience, including 8+ years building production NLP and ML systems.
• Recognized industry leader in Natural Language Processing and related fields.
• Hands-on expertise in large-scale NLP, transformer architectures, and RAG.

Responsibilities

• Define and execute the strategic roadmap for NLP and language understanding across the Knowledge Platform.
• Design and build advanced NLP systems for entity extraction, relationship extraction, information extraction, and document understanding.
• Develop semantic indexing, context representation, and multi-lingual solutions for enterprise data.
• Lead architecture for enterprise copilots, LLM applications, and agentic AI in production.
• Collaborate with platform teams to deploy NLP services at global scale and ensure reliability.

Skills

NLP leadership

Production NLP

Research to production

Python

PyTorch

TensorFlow/JAX

Spark

Education

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

Tools

PyTorch

TensorFlow/JAX

Spark

Hugging Face

Job description

Teradata seeks a Principal NLP Engineer to own and lead NLP design, development, and deployment for the Context Engine within the Autonomous Knowledge Platform. This hands-on leadership role requires deep expertise across classical NLP, transformers, retrieval, knowledge extraction, and large language model systems.

You will shape the roadmap, drive enterprise language understanding, and mentor engineers while delivering scalable NLP solutions for billions of documents and large user bases.