Job Description

Security NLP Architect
Location: Houston, TX
Role Type: 12 Month Contract

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 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.

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.