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AI Cybersecurity Specialist
American Electric Power. Integrate, optimize, and operationalize AI capabilities within the security operations center .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced experience in machine learning and AI applications within security operations, with a strong focus on integrating and optimizing AI capabilities for threat detection and response. Proficient in analyzing security telemetry and collaborating with cross-functional teams to enhance situational awareness and operational efficiency.
Highest-signal resume keywords
Machine Learning ExpertiseSIEM Platform ExperienceScripting or Programming SkillsMITRE ATT&CK FamiliaritySecurity Automation Workflows
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Model DevelopmentThreat Pattern AnalysisLarge Dataset AnalysisAnomaly DetectionSecurity Telemetry AnalysisAI-Driven Detection CapabilitiesData Ingestion and NormalizationFeature EngineeringDashboard CreationPerformance Monitoring
Soft Skills
Interpersonal SkillsInvestigative SkillsCritical ThinkingAdaptabilityProblem Solving
Tools & Technologies
SIEM PlatformsSOAR PlatformsAI ToolsSecurity ToolingTelemetry Pipelines
Certifications & Qualifications
SANS GCIAGCIHGAIPSGASAEGOAACAISPGoogle Professional Machine Learning EngineerAWS Certified Machine LearningIBM Certified AI Engineer
Industry Keywords
CybersecuritySecurity Operations CenterCross-Domain IntelligenceSituational AwarenessAdversary TacticsSecurity AutomationOperational PlaybooksEmerging ThreatsSecurity-Related ExperienceIT-Related Experience
Tech Stack
Tools & technologiesAWSCyber Security
About the role
Key responsibilities & impact- Integrate, optimize, and operationalize AI capabilities within the security operations center
- Design and enhance fusion center capabilities by integrating cross-domain intelligence and improving enterprise-wide situational awareness
- Develop and deploy AI models for alert triage, prioritization, and anomaly detection
- Design, implement, and maintain AI-driven detection and response capabilities within the SOC
- Analyze large-scale security telemetry to identify patterns, threats, and detection-improvement opportunities
- Collaborate with SOC analysts, detection engineers, and data teams on AI-assisted decision making
- Integrate AI-driven enrichment and correlation into existing security tooling
- Automate repetitive SOC tasks using AI and scripting
- Create dashboards and metrics to measure SOC performance improvements
- Support AI-assisted investigation workflows and SOC copilots
- Develop approaches to identify trends, risks, and actionable insights from security and physical/cybersecurity data
- Monitor model performance and reduce false positives and false negatives
- Partner with data engineers on data ingestion, normalization, and feature engineering
- Document AI use cases, workflows, and operational playbooks
- Stay current on emerging threats, adversary tactics, and advances in AI for cybersecurity
- Lead complex security assignments, assessments, implementations, problem solving, and technical direction; mentor team members
Requirements
What you’ll need- Advanced experience with machine learning, data science or AI applications in security
- Ability to analyze threat patterns and assess enterprise impact
- Hands on experience with SIEM platforms
- Experience with scripting or programming
- Familiarity with MITRE ATT&CK, MITRE ATLAS and common adversary tactics and techniques
- Exposure to SOAR platforms and security automation workflows
- Experience working with large datasets, log analysis, or telemetry pipelines
- Strong interpersonal, investigative, and critical thinking skills
- Adaptable to changing priorities and high-pressure environments
- Active or eligible for SECRET DoD clearance
- Certifications listed: SANS GCIA, GCIH, GAIPS, GASAE, GOAA; CAISP; Google Professional Machine Learning Engineer; AWS Certified Machine Learning; IBM Certified AI Engineer
- Bachelor's degree OR Associate's degree with 2 years relevant experience in system administration/help desk/security OR High School Diploma/GED with 3 or 4 years relevant experience in IT system administration/help desk/security, depending on level
- Graduation from an approved Cybersecurity Program may qualify
- Non-degree qualifications, such as hands-on demonstrated ability in a technical interview/assessment, may qualify
- Minimum experience varies by level: 1+ years security-related experience or 2+ years IT-related experience for Security Spec Sr; 2+ years security-related experience or 4+ years IT-related experience for Security Spec Prin; 5+ years security-related experience or 7+ years IT-related experience for Security Spec Lead; 8+ years security-related experience or 10+ years IT-related experience for Security Spec Staff
Benefits
Comp & perks- Annual bonus
- Long-term incentive
- 401(k) match
- AEP Pension
- Comprehensive benefits package designed to support and enhance the overall well-being of employees.