Senior NLP Architect for Enterprise AI & Knowledge

Teradata; Pierre (SD); Hybrid; USD 183,000 - 274,000; Full time

Benefits offered by this job

Flexible work model

Healthcare benefits

401(k) retirement savings plan

Time-off programs

Job summary

Teradata is seeking a Principal NLP Engineer to own the design, development, and deployment of advanced NLP technologies for the Context Engine and Autonomous Knowledge Platform. You will lead from research to production, shaping enterprise AI capabilities with multi-model and multi-lingual NLP expertise.

The role emphasizes long-context understanding, multi-document reasoning, and scalable NLP systems that serve billions of documents, across on-prem, cloud, and hybrid environments.

Qualifications

• PhD or MS in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, NLP, or related field.
• 12+ years of software engineering experience and production NLP/ML systems experience.
• Recognized industry leader in NLP, Language AI, Search, Retrieval, or LLM-based systems.
• Hands-on expertise deploying large-scale NLP systems in production.

Responsibilities

• Define and execute the strategic NLP roadmap for Teradata Context Engine and Knowledge Platform.
• Serve as the technical authority for large-scale NLP architecture and production deployment.
• Drive innovation in enterprise language understanding, semantic search, and knowledge extraction.
• Lead development of NLP pipelines powering enterprise knowledge graphs and semantic layers.
• Mentor engineers and establish NLP engineering best practices across the company.

Skills

Python

PyTorch

TensorFlow/JAX

Spark

Distributed computing

Education

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

Tools

Hugging Face ecosystem

Fine-tuning frameworks

Vector databases

Embedding models

Search engines

Knowledge graphs

Job description

Teradata is seeking a Principal NLP Engineer to own the design, development, and deployment of advanced NLP technologies for the Context Engine and Autonomous Knowledge Platform. You will lead from research to production, shaping enterprise AI capabilities with multi-model and multi-lingual NLP expertise.

The role emphasizes long-context understanding, multi-document reasoning, and scalable NLP systems that serve billions of documents, across on-prem, cloud, and hybrid environments.