Senior Cyber Defense Engineer – AI Security

Job Summary We are seeking an experienced **Senior Cyber Defense Engineer specializing in AI Security** to strengthen the security of AI-driven applications, internal AI models, and enterprise AI environments. The ideal candidate will have a strong background in cybersecurity, along with hands-on experience securing AI/ML systems, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures. This role requires a deep understanding of AI components, workflows, vulnerabilities, and security controls. Key Responsibilities * Design and implement security controls to protect AI models, applications, and enterprise AI environments. * Secure internally developed AI models and LLM-based applications. * Identify and mitigate security risks associated with AI systems, including prompt injection, data leakage, model vulnerabilities, and unauthorized access. * Assess and secure AI architectures, components, APIs, and integration workflows. * Implement security solutions for LLM applications and RAG-based workflows. * Evaluate and strengthen security configurations across AI platforms and cloud environments. * Collaborate with AI/ML, engineering, and cybersecurity teams to integrate security best practices throughout the AI development lifecycle. * Develop and recommend security strategies, standards, and controls for emerging AI technologies. * Conduct security assessments and provide recommendations to address AI-specific threats and vulnerabilities. Required Qualifications * 8+ years of overall experience in Information Security or Cybersecurity. * 3+ years of hands-on experience in AI Security. * Strong understanding of AI/ML architecture, components, workflows, and security principles. * Practical experience securing internally developed AI models. * Hands-on experience with AI technologies such as: * AWS Bedrock * LLaMA * LangChain * Strong knowledge of securing LLM-based applications and RAG architectures. * Experience implementing security controls and solutions for AI systems. * Understanding of AI-related security threats, vulnerabilities, and risk mitigation strategies. * Ability to explain AI architecture, security challenges, and the tools and controls used to protect AI environments. * Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience. Preferred Qualifications * AI Security certifications. * Published research or technical articles related to AI Security. * Experience presenting or speaking at cybersecurity or AI Security conferences. * Experience working across AWS, Azure, or GCP cloud environments. Work Location Irving, TX – Hybrid (3 Days Onsite) **Interested candidates:** Please share your updated resume along with your current location, work authorization, and availability. Pay: From $90.00 per hour Benefits: * Relocation assistance Work Location: In person