AI Cybersecurity Threat Monitoring Architect

Develop and pilot AI threat-modeling capabilities using OWASP, MITRE and MITRE ATLASTranslate emerging AI threats, vulnerabilities and attack techniques into practical actions for security and technology teams Create AI attack scenarios and map them to preventive, detective and response controls Define telemetry and logging requirements across AI applications, models, data, identities, tools, APIs and integrations Build and tune SIEM/SOAR detections, correlation logic, alerts and operational-response playbooks using existing platforms Develop AI-focused threat-hunting playbooks and conduct initial hunts Partner with Threat Intelligence, Incident Response, Operations and adversary-emulation/Purple Team groups to test detection coverage and improve runbooks Assess current visibility and tooling, document gaps, prioritize improvements and establish coverage metrics Create durable processes, ownership, roadmaps and recommendations that integrate AI threat response into existing cybersecurity operations Required Skills/Experience (Must-Haves) Demonstrated hands-on experience in several of the following:detection engineering, threat hunting, incident response, SOC monitoring, security architecture or adversary emulation Practical security experience with LLMs/Generative AI and exposure to agentic AI, MCP, API security or cloud-hosted AI services Direct experience building SIEM and SOAR use cases, including detection rules, correlation logic, alert pipelines and response playbooks Experience defining or using telemetry across cloud, application, API, data, endpoint or AI/ML workloads in AWS or hybrid environments Experience conducting threat modeling and mapping threats to preventive, detective and responsive controls Experience planning or participating in adversary-emulation and Purple Team exercises Ability to assess security capabilities, document gaps and recommend implementable tooling or process improvements Strong enterprise consulting skills: cross-functional decision leadership, detailed documentation and clear presentations to engineering and leadership audiences Experience in a complex, high-availability enterprise environment Preferred Skills/Experience (Nice-to-Haves) Bachelor's degree in cybersecurity, computer science, information systems, data science, engineering or equivalent experienceCISSP, CCSP, GIAC, AWS Security Specialty, SIEM/incident-response/detection certifications or relevant AI-security trainingAWS AI-security experience and understanding of non-human identity/IAM concepts Key Competencies & BehaviorsAI Threat Modeling Expertise Detection Engineering Proficiency Threat Hunting Mindset Incident Response AcumenSIEM/SOAR Optimization Security Architecture KnowledgeAI Security Risk Assessment Adversary Emulation Collaboration Telemetry & Logging Strategy Security Controls Mapping Work Environment