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Job Description
Role :
NLP Architect Location :
Houston, TX (Hybrid)
Job Description 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.
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.
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.