AI-Driven Vulnerability Management Engineer

Reply; Lodi; On-site; EUR 45,000 - 65,000; Full time

Benefits offered by this job

Structured career path

Continuous learning environment

Competitive compensation

Growth opportunities

Equal opportunity employer

Job summary

Reply is seeking a Vulnerability Management Specialist in Lombardy, Italy to own the full vulnerability lifecycle across networks, applications, cloud, and AI systems. You will design and run risk-based programs for clients, leveraging AI-driven analytics to reduce exposure.

This hands-on role combines technical work with client engagement, developing scripts and tooling to speed detection and prioritization, and guiding remediation with a risk-based mindset.

Qualifications

• Bachelor/Master in IT, information security or CS required.
• Experience with vulnerability management and risk scoring.
• Familiarity with CVSS and remediation workflows.

Responsibilities

• Design and run end-to-end vulnerability management across networks, apps, cloud and AI systems.
• Perform scanning, risk scoring, remediation follow-up, and reporting.
• Assess AI-based apps and models to map exposure.
• Engage with clients to scope activities, present findings, and guide remediation.
• Develop scripts and tooling to speed detection, correlation, and prioritization.
• Apply AI/ML models to triage vulnerabilities and reduce false positives.
• Produce clear, actionable reports for IT teams and teams on engagements.

Skills

Python scripting

Windows

Linux/Unix

Cloud environments

CVSS/risk-based prioritization

Strong communication

AI/ML security concepts

Education

Bachelor or Master in Information Technology, Information Security or Computer Science

Tools

Vulnerability scanning tools

IT asset management tools

Job description

Reply is seeking a Vulnerability Management Specialist in Lombardy, Italy to own the full vulnerability lifecycle across networks, applications, cloud, and AI systems. You will design and run risk-based programs for clients, leveraging AI-driven analytics to reduce exposure.

This hands-on role combines technical work with client engagement, developing scripts and tooling to speed detection and prioritization, and guiding remediation with a risk-based mindset.