Security Architect - AI Cybersecurity Threat Monitoring/REmote

JD — Security Architect – AI Cybersecurity Threat Monitoring

Location-Remote

Job Summary

The Security Architect – AI Cybersecurity Threat Monitoring is responsible for designing and implementing security architectures that use AI/ML technologies to detect, analyze, and respond to cybersecurity threats. The role focuses on threat monitoring, security analytics, AI-driven detection, and integration of security tools across the organization.

Key Responsibilities

• Design and implement AI-driven cybersecurity threat monitoring solutions.
• Develop security architecture for threat detection, monitoring, and response.
• Use AI/ML techniques to identify unusual activity, anomalies, and potential threats.
• Integrate AI-based security solutions with SIEM, SOAR, EDR/XDR, and other security platforms.
• Define security monitoring, alerting, and incident response strategies.
• Analyze security events and improve detection rules and threat models.
• Establish security controls for AI systems, applications, APIs, and data.
• Work with SOC and incident response teams to investigate and remediate threats.
• Evaluate emerging AI cybersecurity tools and technologies.
• Ensure security solutions comply with organizational policies and regulatory requirements.
• Develop security architecture diagrams, standards, policies, and technical documentation.
• Conduct security assessments and recommend improvements to the overall security posture.
• Support automation of threat detection and response processes.

Required Qualifications

• Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or a related field.
• Strong understanding of SIEM, SOAR, EDR/XDR, threat intelligence, and security monitoring.
• Experience with cloud and enterprise security architectures.
• Knowledge of AI/ML concepts and their application in cybersecurity.
• Strong understanding of network, endpoint, application, and identity security.
• Knowledge of security frameworks such as NIST, MITRE ATT&CK, and Zero Trust.
• Strong analytical, troubleshooting, and problem-solving skills.

Preferred Skills

• Experience with Microsoft Sentinel, Splunk, QRadar, CrowdStrike, or similar platforms.
• Experience developing AI/ML-based threat detection or anomaly detection solutions.
• Knowledge of Python, SQL, or other scripting/programming languages.
• Experience with AWS, Azure, or Google Cloud security.
• Knowledge of AI security risks, including prompt injection, model manipulation, data leakage, and AI governance.
• Familiarity with SOAR automation and security orchestration.
• Relevant certifications such as CISSP, CCSP, SABSA, or cloud security certifications.