Security NLP Architect

Role                       : Security NLP Architect

Location               : Houston TX 

Role Type            : Contract

Position Overview:

We are launching a critical initiative to design, scale, and safeguard our next-generation, LLM-powered customer experience (CX) ecosystem. We are seeking a high-caliber Principal AI & Security Architect to pioneer the deployment of production-grade conversational AI, advanced multi-agent workflows, and secure AI governance frameworks. This role sits at the unique intersection of cutting-edge Generative AI development and enterprise-grade cybersecurity orchestration.

In this strategic, hands-on role, you will dictate the future architectural roadmap of our global contact center platforms—fusing GraphRAG systems, vector intelligence networks, and advanced threat detection paradigms to deliver hyper-personalized, context-aware, and highly trusted customer interactions.

Job Description

Core Qualifications Required:

• 12+ years of progressive expertise in Enterprise AI Architecture, NLP, Distributed Computing, or complex ML Systems.

• 5+ years of dedicated, hands-on experience architecting production-level Generative AI and LLM platforms.

• Mandatory Core Stack & Tooling: Hand-on proficiency with Weaviate, Lakera, Orca Security, OWASP for LLMs, YARA, and MITRE ATT&CK.

• Advanced Architecture Mastery: Proven execution of GraphRAG frameworks (beyond baseline RAG), Multi-Agent orchestration, RLHF alignment/tuning paradigms, and distributed training/inference.

• Programming & Core Infrastructure: Elite coding skills in Python, Scala, or Java.

• Framework Ecosystem: Deep familiarity with PyTorch, TensorFlow, LangChain, Hugging Face Transformers, or equivalent AI middleware.

• Strong background building and scaling production-grade AI applications within distributed cloud environments.

Key Focus Areas:

• NLP

• GraphRAG

• Orca Security

• Lakera

• OWASP

• MITRE ATT&CK or Yara

• PyTorch, LangChain, or TensorFlow

• Python, Scala, or Java

Note

Education & Target Assets:

• Preferred: Master’s degree or Ph.D. in Artificial Intelligence, Computer Science, Machine Learning, Cybersecurity, or an equivalent technical field.

• Highly valued: Verified credentials or specialized project portfolios highlighting vector database scaling, prompt security firewalls, and LLM penetration testing.