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Security NLP Architect- Houston, TX- 12-Month Contract- Hybrid

Palni IncHouston, TX🇺🇸United StatesPosted 29 Jul 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Hi,
 
Hope you’re doing well!
 
We are seeking an experienced Security NLP Architect to lead the design, implementation, and security of next-generation AI-powered customer experience platforms. This role combines Generative AI, NLP, GraphRAG, Multi-Agent Systems, and Cybersecurity to build scalable, secure, and production-grade LLM solutions within enterprise environments.  
 
Security NLP Architect
Location: Houston, TX (Hybrid) (1 week onsite every month)
Duration: 12-Month Contract
 
Required Skills & Experience
  • 12+ years of experience in AI Architecture, NLP, Machine Learning, Distributed Systems, or Enterprise Architecture.
  • 5+ years of hands-on experience with Generative AI and Large Language Models (LLMs).
  • Strong expertise in:
    • GraphRAG architectures
    • Multi-Agent AI systems
    • Weaviate Vector Database
    • Orca Security and/or Lakera
    • OWASP for LLMs
    • MITRE ATT&CK and YARA
  • Proficiency in Python, Scala, or Java.
  • Experience with AI/ML frameworks such as PyTorch, TensorFlow, LangChain, and Hugging Face.
  • Proven experience building and scaling AI applications in cloud-based distributed environments.
Responsibilities
  • Architect and secure enterprise-scale Generative AI and NLP platforms.
  • Design and implement GraphRAG and vector-based knowledge systems.
  • Develop secure AI governance and threat detection frameworks.
  • Lead the deployment of multi-agent AI workflows and LLM-powered applications.
  • Establish AI security controls and best practices for production environments.
  • Collaborate with engineering and security teams to deliver trusted customer-facing AI solutions.
Preferred Qualifications
  • Master''''s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or Cybersecurity.
  • Experience with vector database scaling, prompt security, AI governance, and LLM penetration testing.

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