Senior AI-Driven Vulnerability Management Lead

EY; Las Vegas (NV); On-site; USD 105,000 - 192,000; Full time

Job summary

EY is looking for a Senior in AI-Enabled Vulnerability Management to help clients move from scan-and-patch to continuous threat exposure management. You’ll apply AI across the vulnerability lifecycle and extend programs to cover AI systems you’re adopting.

You’ll design AI-enabled capabilities across cloud, on‑prem, container, and endpoint environments, build data foundations, and mentor junior teammates while delivering reusable accelerators that outlast a single engagement.

Qualifications

• 3-5 years of vulnerability or exposure management experience.
• Hands-on across full VM lifecycle with listed platforms.
• Experience applying AI to vulnerability management with scripting and API integration.
• Certification in AI security or cybersecurity, or ability to obtain one.

Responsibilities

• Design and operate AI-enabled vulnerability and exposure management across cloud, on-prem, containers, apps and endpoints.
• Build asset data foundations: identity resolution, CMDB reconciliation, deduplication.
• Drive risk-based prioritization using threat intel, exploit prediction, and asset criticality.
• Build AI workflows that triage findings and guide remediation via orchestrated patching and IaC.
• Measure AI output against human baselines and track false positives and MTTR.
• Apply guardrails and auditability to AI actions in client environments.
• Extend VM to AI systems, covering model, prompt, integration, and supply chain weaknesses.
• Mentor junior team members and contribute reusable accelerators.

Skills

Vulnerability management

AI in security

Python scripting

API integration

Threat intelligence

Education

AI security certification

Tools

Tenable

Qualys

Rapid7

Wiz

Microsoft Defender

Job description

EY is looking for a Senior in AI-Enabled Vulnerability Management to help clients move from scan-and-patch to continuous threat exposure management. You’ll apply AI across the vulnerability lifecycle and extend programs to cover AI systems you’re adopting.

You’ll design AI-enabled capabilities across cloud, on‑prem, container, and endpoint environments, build data foundations, and mentor junior teammates while delivering reusable accelerators that outlast a single engagement.