Architect AI Cybersecurity Threat Monitoring

Job Title: Security Architect

Job Role: Architect - AI Cybersecurity Threat Monitoring

Location: Dallas, TX(Hybrid)

Required Skills & Experience (Ranked by Importance)

1. Security Operations, Detection Engineering & Threat Hunting: Deep background in SOC monitoring, detection engineering, SIEM/SOAR rule creation, alerting pipelines, and threat hunting workflows.
2. AI & LLM Cybersecurity: Hands-on experience securing Generative AI, Agentic AI, Large Language Models (LLMs), Model Context Protocol (MCP), and AI APIs especially within AWS cloud environments.
3. Framework Proficiency: Practical application of MITRE ATLAS, OWASP for LLM Applications, and NIST AI RMF for threat modeling and control mapping.
4. Purple Teaming & Adversary Emulation: Experience designing and testing attack scenarios against AI workloads to validate defensive controls.
5. Telemetry & Observability Strategy: Proven ability to architect logging, telemetry pipelines, and data visibility requirements for cloud and AI/ML workloads.
6. Non-Human Identity & Access Management: Understanding of security best practices for AI service accounts, automated agents, API tokens, and machine-to-machine integrations.
7. Cross-Functional Architecture & Stakeholder Leadership: Experience driving security architecture reviews, leading executive briefings, and translating complex AI risks into business decisions.

Qualifications & Education

• Education: Bachelor s degree in Cybersecurity, Computer Science, Information Systems, Data Science, Engineering, or equivalent practical experience. Advanced degree preferred.
• Basic Requirements: Must be at least 18 years old and legally authorized to work in the United States without sponsorship (Immigration Reform Act of 1986).

Preferred Certifications

• Security Architecture & Leadership: CISSP, CCSP, GIAC (e.g., GDSA, GCIA, GCIH), or AWS Certified Security - Specialty.
• AI Security & Governance: Advanced in AI Risk (AAIR), Advanced in AI Security Management (AAISM), CompTIA Security AI+, or equivalent specialized training.
• Cloud & AI Fundamentals: AWS Certified AI Practitioner, AWS Certified Cloud Practitioner.

Work Style & Core Competencies

• Strong analytical mindset to parse complex telemetry and detect subtle, novel adversary techniques.
• Executive-level communication skills to present roadmaps, project health, and threat intelligence to Directors, VPs, and engineering peers.
• Collaborative and adaptable in fast-moving Agile environments with shifting enterprise priorities.