What are the responsibilities and job description for the NLP Architect (Security Architect) position at Diligent Tec, Inc?
NLP Architect (Security Architect)
Location: Houston, TX (Hybrid) (1 week onsite every month. Look for Local to TX or Nearby state candidates)
Role Type: 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. 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.
Key Focus Areas: • NLP • GraphRAG • Orca Security • Lakera • OWASP • MITRE ATT&CK or Yara • PyTorch, LangChain, or TensorFlow • Python, Scala, or Java
Location: Houston, TX (Hybrid) (1 week onsite every month. Look for Local to TX or Nearby state candidates)
Role Type: 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. 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.
Key Focus Areas: • NLP • GraphRAG • Orca Security • Lakera • OWASP • MITRE ATT&CK or Yara • PyTorch, LangChain, or TensorFlow • Python, Scala, or Java