×
Register Here to Apply for Jobs or Post Jobs. X

Lead Info Sec Vulnerability

Job in Woodbridge Township, Middlesex County, New Jersey, USA
Listing for: TIAA
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Cybersecurity, AI Evaluation
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
Lead Information Security Vulnerability

The Lead Information Security Vulnerability role leads the integration of AI into vulnerability management operations while driving triage of findings generated from AI-enabled scans. As a subject matter expert in vulnerability assessment, this role advises on corrective actions and risk-based prioritization, and serves as a hands‑on builder of the AI capabilities powering the program - including developing AI-driven scanning workflows, building AI-based validation agents, and maturing future agentic efforts.

Key Responsibilities And Duties
  • Builds and matures AI-enabled vulnerability scanning capabilities using AI development tools and platforms, helping develop and strengthen the team's skills and repeatable practices for AI-driven scans.
  • Designs, builds, and iterates on AI-based validation agents (e.g., verification of scan findings, SAST verification) to improve accuracy and reduce false positives at scale.
  • Leads the triage, validation, and prioritization of vulnerability findings generated from AI-enabled identification tools, defining validation criteria and triage standards.
  • Drives the integration of AI and agentic capabilities into vulnerability management BAU, improving the speed, accuracy, and scale of identification, prioritization, and remediation workflows.
  • Develops standardized evaluation criteria to benchmark performance across testing harnesses, LLM providers, and iterations, ensuring AI processes are repeatable and sustainable for new applications.
  • Advises management on vulnerability corrections and risk-based prioritization, producing reports that outline findings, intrusion paths, and recommended remediation.
  • Supports the advancement of AI vulnerability identification and verification from proof‑of‑concept to production, including evaluation of AI scanning harnesses and approaches.
  • Contributes to risk‑based prioritization models (asset criticality, EPSS, CISA KEV, risk scoring) that drive remediation sequencing within the Unified Vulnerability Management (UVM) program.
  • Determines causes and exploitation methods of identified vulnerabilities, and analyzes complex software systems and findings to assess functionality, intent, and exploitability.
  • Designs and implements process automation and tooling specific to cyber and vulnerability operations.
  • Collaborates with threat intelligence, remediation, AI, platform, and application teams to ensure timely resolution of critical and high‑severity vulnerabilities within defined SLAs.
  • Serves as a technical resource and mentor to vulnerability management practitioners, sharing AI tooling practices and consistent triage approaches (no direct reports).
  • Leads and participates in future AI-driven vulnerability management initiatives that build on these capabilities as the program evolves.
Educational Requirements

University (Degree) Preferred

Work Experience

5+ Years Required; 7+ Years Preferred

Physical Requirements

Physical Requirements:

Sedentary Work

Career Level

8IC

Required Qualifications
  • 5+ years of experience in information security, vulnerability management, assessment, or related security operations.
  • Experience and understanding of vulnerability prioritization frameworks (CVSS, EPSS, CISA KEV) and risk-based remediation.
Preferred Qualifications
  • Experience building with AI development tools and/or platforms (e.g., LLM- and agent-based tooling), including developing, prompting, and/or iterating on AI-driven workflows or agents.
  • 7+ years of experience in information security or vulnerability management.
  • Ability to work independently as an individual contributor across infrastructure, application, cloud, and container security contexts.
  • Familiarity with vulnerability scanning and management platforms (e.g., Tenable, Wiz) and findings triage.
  • Experience building or evaluating AI-based validation/verification agents and developing evaluation criteria for LLM/agent performance.
  • Familiarity with agentic operating models, SAST/DAST/SCA tooling (e.g., Snyk), Service Now, and CI/CD pipeline integration.
  • Relevant certifications a plus but not required (e.g., CISSP, GWAPT, GCIH, OSCP).
  • Experience mentoring or guiding security practitioners.
Related Skills

Accountability, Adaptability, Business Continuity

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary