Engineer, Cyber Security II

TALENT Software Services; Columbia (SC); On-site; USD 120,000 - 160,000; Full time

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

Duties:

Implements, maintains and monitors security systems that are used for the protection of computer systems, networks, and data. Assists in the design of systems security infrastructure and provide technical security guidance as needed for projects. Develops and documents standard operating procedures and work instructions. Configures and troubleshoot security infrastructure devices. Assists in the development of technical solutions to help mitigate security vulnerabilities and mitigate associated risks.

• 25% Implements, maintains and monitors security systems/tools that are used for the protection of computer systems, networks, and data. Configures and troubleshoot security infrastructure devices and security tools. Ensures proper security tools are being used effectively.
• 25% Assists in the design of systems security infrastructure and provide technical security guidance as needed for projects. Researches, designs, and advocates new technologies, infrastructure, architectures, and security products that will support security requirements for the enterprise and its customers, business partners, and vendors. Performs capacity and future growth planning of the enterprise security infrastructure to ensure a highly available security environment.
• 20% Develops and documents standard operating procedures and work instructions. Evaluates and recommends procedures and processes for the prevention, detection, containment and correction of information security breaches. Analyzes business impact and exposure based on security threats, vulnerabilities, and risks. Advises management and users regarding security procedures.
• 20% Performs system monitoring evaluations and audits to ensure compliance with the corporate security policies and standards. Communicates security risks and solutions to business partners and appropriate IT staff as needed. Provides direct support and guidance for security related issues.
• 10% Assists in the development of technical solutions to help mitigate security vulnerabilities and mitigate associated risks. Evaluates products and/or procedures to enhance productivity and effectiveness of information security across the organization.
  
  

The CyberSecurity AI Specialist will design, implement, and govern advanced AI-enabled security capabilities that predict and neutralize unknown threats in real time. This includes building defensive AI architecture to automate alert triage and applying adversarial machine learning to detect synthetic attacks that mimic legitimate behavior. The role will also enhance behavioral analytics to identify insider threats and zero-day exploits, establish policy frameworks for secure generative AI adoption, and support incident response by mapping attacker movement in real time. This position strengthens both proactive defense and operational resilience while enabling secure innovation.

Skills:

Required Skills and Abilities: Strong data analysis and correlation abilities. Strong knowledge of enterprise data architecture, systems engineering and data communications as applied to the automated storage and retrieval of information, using multiple platforms and protocols with the inherent security risks of each. Ability to effectively prioritize and execute tasks in a high-pressure environment. Strong understanding of the organization's goals and objectives. Expertise with threat analysis risk management, configuration management, business continuity and contingency planning. Strong knowledge of administrative, procedural and technical controls used to reduce security risks. Ability to troubleshoot multi-vendor Security issues. Strong organizational, interpersonal and oral communication skills. Advanced proficiency in network troubleshooting, diagnostic root cause analysis. Excellent analytical and problem-solving abilities. Excellent attention to detail.

Required Software and Other Tools: Advanced proficiency with applicable IT Security tools (software and hardware). Microsoft Office.

Work Environment: Fast paced, multi-platformed environment which may require action and response 24X7 to support the technical business needs of the customer.

Machine learning and deep learning fundamentals

Programming skills in Python and scripting languages

Understanding of adversarial attacks and AI model security

Cloud platforms and secure deployment practices

Schedule Notes:

IS

• NO SUBCONTRACTOR CANDIDATES
• Information Systems Job Category - Credit Check must be processed during pre-screens.
  
  

Required Education: Bachelor's degree in Computer Science, Information Technology or other job related degree. or 4 years of job related work experience or 2 years of job related experience plus an associate's degree in Computer Science, Information Technology or other job related degree.

Required Work Experience: 6 years of job related technical experience.

Contract

C2 Eligibility is Required

Partial Onsite: Tuesday, Wednesday, Thursday Onsite and as Needed

Interviews: In Person preferred - Remote ok

Hours: 8AM - 5PM - M-F - Possible, but likely rare: overtime, travel, weekends, off hours

The Team: Cybersecurity Operations Center (CSOC) - 13 people, half analysts, half engineers. Currently continuing to integrate new SIEM with multiple platforms and roll out new AI security initiatives

Required:

Understanding of Github or Gitlab, and CICD pipelines

Security operations/detection engineering/IR experience with SIEM/SOAR workflows; automation/scripting skills (e.g., Python, KQL/SPL).

Working knowledge of AI/ML risk patterns (prompt injection, data leakage, and over-trust of outputs).

Nice To Have:

Previous network engineer experience

Previous SOC analyst/engineer experience

Certifications related to AI/Machine Learning

Things we are looking for person to do:

Detection catalog in production: Publish an AI threat detection catalog mapped to telemetry sources and deploy an initial prioritized detection set with a monthly tuning cadence.

• Faster, cleaner triage: Reduce repeat false positives and improve time-to-triage/time-to-escalation for AI-related alerts through enrichment and tuning.
• Monitored guardrails: Stand up baseline monitoring and anomaly thresholds for approved AI tools and deliver recurring executive-ready reporting on risky usage patterns and remediation.
• Validated response capability: Publish AI-focused IR runbooks and validate via tabletop exercises; feed lessons learned into playbooks and detection tuning.
  
  

Soft Skills: Communication skills and leadership skills. Will be working across teams that include execs, architects, senior technical staff

• Not looking for auditors or compliance specialists. This is a very technical hands on AI focused engineering position