Principal NLP Architect for Enterprise AI & Knowledge

Teradata

Atlanta (GA)

Hybrid

USD 164,000 - 201,000

Full time

42 hours ago
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Benefits offered by this job

Flexible work model
Comprehensive benefits

Job summary

Teradata seeks a Principal NLP Engineer to own the design, development, and deployment of advanced NLP technologies powering its Autonomous Knowledge Platform. You will lead systems for semantic understanding, knowledge extraction, and multi-model reasoning at enterprise scale.

The role combines hands-on engineering with technical leadership across LLMs, retrieval, and multi-document reasoning, mentoring engineers and shaping Teradata’s enterprise AI roadmap.

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.

Responsibilities

  • Define and execute the strategic roadmap for NLP and language understanding capabilities across our 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.
  • Lead deployment strategies across on-prem, cloud-native, hybrid, and enterprise environments.

Skills

NLP leadership
Production NLP
Python
PyTorch
TensorFlow/JAX
Spark
Distributed computing

Education

PhD in CS/AI/NLP
MS in CS/AI/NLP

Tools

Hugging Face ecosystem
Vector databases
Knowledge graphs
Distributed ML infrastructure

Job description

Teradata seeks a Principal NLP Engineer to own the design, development, and deployment of advanced NLP technologies powering its Autonomous Knowledge Platform. You will lead systems for semantic understanding, knowledge extraction, and multi-model reasoning at enterprise scale.

The role combines hands-on engineering with technical leadership across LLMs, retrieval, and multi-document reasoning, mentoring engineers and shaping Teradata’s enterprise AI roadmap.

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