NLP Architect (Security Architect)

Summary:

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 Graph RAG systems, vector intelligence networks, and advanced threat detection paradigms to deliver hyper-personalized, context-aware, and highly trusted customer interactions.

Responsibilities:

• Design and implement production-grade conversational AI and advanced multi-agent workflows.
• Develop secure AI governance frameworks to protect the integrity of AI systems.
• Lead the architectural roadmap for global contact center platforms.
• Integrate Graph RAG systems and vector intelligence networks for enhanced customer interactions.
• Ensure advanced threat detection paradigms are in place for robust security.

Requirements:

• 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.
• Hands-on proficiency with Weaviate, Lakera, Orca Security, OWASP for LLMs, YARA, and MITRE ATT&CK.
• Proven execution of Graph RAG frameworks, Multi-Agent orchestration, RLHF alignment/tuning paradigms, and distributed training/inference.
• Elite coding skills in Python, Scala, or Java.
• Deep familiarity with PyTorch, TensorFlow, Lang Chain, Hugging Face Transformers, or equivalent AI middleware.
• Strong background in building and scaling production-grade AI applications within distributed cloud environments.

Required Skills:

• NLP
• Graph RAG
• Orca Security
• Lakera
• OWASP
• MITRE ATT&CK or YARA
• PyTorch, Lang Chain, or TensorFlow
• Python, Scala, or Java

Preferred Skills:

• Master's degree or Ph.D. in Artificial Intelligence, Computer Science, Machine Learning, Cybersecurity, or an equivalent technical field.
• Verified credentials or specialized project portfolios highlighting vector database scaling, prompt security firewalls, and LLM penetration testing.

Benefits:

Look for local to TX or nearby state candidates who are comfortable traveling 1 week onsite.