Cybersecurity AI Engineer

Job Description The Principal Cyber AI Engineer will drive the development and optimization of advanced tools, processes, and workflows to predict, detect, and prevent AI specific threats. This hands-on technical leadership role combines deep research in AI security with close collaboration across teams to integrate AI capabilities into robust cybersecurity architectures. ________________________________________ Key Responsibilities: - Design, develop, and optimize AI-Security specific threat models, tools, solutions for threat identification, prediction, and prevention. - Implement and secure machine learning models, neural networks, and AI techniques to enhance threat detection, monitoring, and risk scoring. - Integrate AI security tools and technologies across cybersecurity architectures, collaborating with data scientists, security engineers, and other stakeholders. - Analyze AI security incident data to refine and improve AI models and methodologies. - Provide technical leadership and mentorship to junior engineers in AI and machine learning. - Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM), and advanced security architectures (Agentic, MCP). - Stay abreast of emerging trends and advancements in AI and cybersecurity. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements The Principal Cyber AI Engineer will drive the development and optimization of advanced tools, processes, and workflows to predict, detect, and prevent AI specific threats. This hands-on technical leadership role combines deep research in AI security with close collaboration across teams to integrate AI capabilities into robust cybersecurity architectures. ________________________________________ Key Responsibilities: - Design, develop, and optimize AI-Security specific threat models, tools, solutions for threat identification, prediction, and prevention. - Implement and secure machine learning models, neural networks, and AI techniques to enhance threat detection, monitoring, and risk scoring. - Integrate AI security tools and technologies across cybersecurity architectures, collaborating with data scientists, security engineers, and other stakeholders. - Analyze AI security incident data to refine and improve AI models and methodologies. - Provide technical leadership and mentorship to junior engineers in AI and machine learning. - Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM), and advanced security architectures (Agentic, MCP). - Stay abreast of emerging trends and advancements in AI and cybersecurity. - Experience with agentic and model context protocols (MCP) architectures. - Demonstrated ability to lead cross-functional technical teams. - Track record of published research or thought leadership in AI security.