AI-Driven Cyber Security Engineer II

TALENT Software Services

Columbia (SC)

On-site

USD 120,000 - 160,000

Full time

3 days ago
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Job summary

TALENT Software Services is seeking a CyberSecurity AI Specialist to join the CSOC, designing and governing advanced AI-enabled security capabilities. The role emphasizes real-time threat prediction, adaptive alert triage, and secure generative AI adoption across enterprise systems.

Candidates should have deep data analytics, security engineering expertise, and hands-on experience with AI/ML risk patterns, CI/CD, and multi-platform environments. Remote-ready with onsite collaboration as needed.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology or related field.
  • Or 4 years of related work experience.
  • Or 2 years with an associate degree in CS/IT.
  • 6 years of job-related technical experience.

Responsibilities

  • Publish an AI threat detection catalog mapped to telemetry sources and deploy an initial prioritized detection set with monthly tuning.
  • Reduce repeat false positives and improve time-to-triage and time-to-escalation for AI-related alerts.
  • Stand up baseline monitoring and anomaly thresholds for approved AI tools and provide executive-ready reporting.
  • Publish AI-focused incident response runbooks and validate via tabletop exercises.
  • Collaborate across teams to strengthen detection and response capabilities in a high-security environment.

Skills

Data analysis
Threat analysis
Risk management
Scripting (Python)
Network troubleshooting
Communication skills
Problem solving
Organizational skills
Security operations

Education

Bachelor's degree in Computer Science or IT

Tools

GitHub
GitLab
CI/CD pipelines
SIEM/SOAR tools
Python

Job description

TALENT Software Services is seeking a CyberSecurity AI Specialist to join the CSOC, designing and governing advanced AI-enabled security capabilities. The role emphasizes real-time threat prediction, adaptive alert triage, and secure generative AI adoption across enterprise systems.

Candidates should have deep data analytics, security engineering expertise, and hands-on experience with AI/ML risk patterns, CI/CD, and multi-platform environments. Remote-ready with onsite collaboration as needed.

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