Principal Cybersecurity - Telecom Network Security Architect

AT&T · Telecom · USA:NC:Charlotte +3

This Principal Cybersecurity Engineer role focuses on protecting core telecom infrastructure using AI and machine learning for threat detection, automation, and remediation. The role involves architecting security controls, integrating AI/ML techniques, developing automation scripts, and conducting security analysis and testing in a multi-vendor telecom network environment.

What you'd actually do

  1. Integrate AI and machine learning techniques to improve detection of security anomalies, automate repetitive testing workflows, and generate intelligent remediation recommendations.
  2. Optimization of AI-powered security solutions to monitor, detect, and mitigate risks in multi-vendor telecom network environments.
  3. Leverage Python scripting and AI-driven automation tools for security testing, vulnerability assessment, and real-time threat detection across core network elements.
  4. Research and analyze adversarial tactics, techniques, and procedures (TTPs), with an emphasis on threats targeting critical and next-generation networking technologies.
  5. Design and execute adversary simulation exercises and advanced penetration testing to validate the security of telecom-critical and multi-vendor infrastructure.

Skills

Required

  • telecom network security
  • AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Python scripting
  • automation tools
  • security controls
  • network security policies
  • BGP security
  • RPKI
  • vulnerability management
  • penetration testing
  • adversarial tactics, techniques, and procedures (TTPs)
  • Linux/Windows server administration
  • Cisco, Juniper, Arista, Whitebox routers/switches

Nice to have

  • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Electrical Engineering, or a related field.
  • Experience mentoring security teams
  • Power BI dashboards

What the JD emphasized

  • AI-driven techniques
  • machine learning and automation
  • AI and machine learning techniques
  • AI-powered security solutions
  • AI-driven automation tools
  • AI and advanced analytics
  • Deep knowledge and hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and the operational integration of these technologies in cybersecurity applications.

Other signals

  • AI-driven techniques
  • machine learning and automation
  • AI and machine learning techniques
  • AI-powered security solutions
  • AI-driven automation tools
  • AI and advanced analytics