AI Security Operations Analyst
About the role
Responsible for large-scale security assignments providing direction to other team members. Responsible for gathering, investigating, and analyzing very complex security requirements, processes, and incidents. Leads analysis of security controls assessments (internal and third party) through application security testing, penetration testing or other means to ensure controls effectiveness. Leads the identification and documentation of potential mitigations /remediations and ensures report creation of findings with identified risk response. Responsible for the conceptual design of implementation strategies on assigned security projects/activities. Leads advanced level implementation, support, and/or usage of technical solutions. Leads others in advanced problem solving, decision-making, and functional area knowledge. Mentors and provides functional/technical work direction to team.
Responsibilities
- Integrating, optimizing, and operationalizing artificial intelligence (AI) capabilities within the security operations center.
- Designing and enhancing fusion center capabilities by integrating cross-domain intelligence, improving visibility, and enabling enterprise-wide situational awareness and decision making.
- Developing and deploying AI models to support alert triage, prioritization and anomaly detection.
- Designing, implementing and maintaining AI driven detection and response capabilities within the SOC.
- Analyzing large scale security telemetry to identify patterns, threats and opportunities for detection improvement.
- Collaborating with SOC analysts and engineers to identify and implement AI-assisted decision making.
- Integrating AI-driven enrichment and correlation into existing security tooling.
- Automating repetitive SOC tasks using AI and scripting.
- Create dashboard and metrics to measure SOC performance improvements.
- Support development of AI assisted investigation workflows and SOC copilots.
- Apply a creative, analytical mindset to SOC operations, intelligence, and physical/cyber security data, developing new approaches to identify trends, risks, and actionable insights.
- Monitor model performance, reduce false positives/negatives, and continuously improve detection quality.
- Partner with data engineers to ensure proper data ingestion, normalization, and feature engineering.
- Document AI use cases, workflows and operational playbooks.
- Stay current on emerging threats, adversary tactics and advancements in AI for cybersecurity.
Requirements
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: SANS GCIA, GCIH, GAIPS, GASAE, GOAACAISPGoogle Professional Machine Learning EngineerAWS Certified Machine LearningIBM Certified AI Engineer
Qualifications
- Bachelor's degree OR Associates degree with 2 years relevant experience in system administration/help desk/security (cyber or physical) OR High School Diploma/GED with 4 years relevant experience in IT system administration/help desk/security (cyber or physical); OR graduation from an approved Cybersecurity Program; alternatively may have non-degree qualifications (such as hands-on demonstrated ability in a technical interview/assessment).
- 2 or more years of Information Technology related experience; OR 1 or more years of security related experience, which may include military/government work experience in addition to any experience identified above.
- Bachelor's degree OR Associates degree with 2 years relevant experience in system administration/help desk/security (cyber or physical) OR High School Diploma/GED with 4 years relevant experience in IT system administration/help desk/security (cyber or physical).
- 4 or more years of Information Technology related experience; OR 2 or more years of security related experience, which may include military/government work experience in addition to any experience identified above.
- Bachelor's degree OR Associates degree with 2 years relevant experience in system administration/help desk/security (cyber or physical) OR High School Diploma/GED with 4 years relevant experience in IT system administration/help desk/security (cyber or physical).
- 7 or more years of Information Technology related experience; OR 5 or more years of security related experience, which may include military/government work experience in addition to any experience identified above.
- Bachelor's degree OR Associates degree with 2 years relevant experience in system administration/help desk/security (cyber or physical) OR High School Diploma/GED with 4 years relevant experience in IT system administration/help desk/security (cyber or physical).
- 10 or more years of Information Technology related experience OR 8 or more years of security related experience, which may include military/government work experience in addition to any experience identified above.
Skills
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: SANS GCIA, GCIH, GAIPS, GASAE, GOAACAISPGoogle Professional Machine Learning EngineerAWS Certified Machine LearningIBM Certified AI Engineer
Benefits
Comprehensive benefits package that aims to support and enhance the overall well-being of our employees. Includes health insurance, retirement plans, paid time off, and more.
Pay
Base Salary from $87,633.00 - $177,503.00/year.
Schedule
Sedentary Work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.