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NLP Architect (Security ArchitectLingaTechUnited States

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NLP Architect (Security Architect

LingaTech
  • US
    United States
  • US
    United States

Über

Role: NLP Architect (Security Architect)
Location: Houston, TX (Hybrid)
(1 week onsite every month. Look for Local to TX or Nearby candidates
)
Role Type: 12 Month 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.
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.
Note
Key Focus Areas: • NLP • GraphRAG • Orca Security • Lakera • OWASP • MITRE ATT&CK or Yara • PyTorch, LangChain, or TensorFlow • Python, Scala, or Java
  • United States

Sprachkenntnisse

  • English
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