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Application Security Engineer AI​/ML & SAST

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Compunnel, Inc.
Full Time position
Listed on 2026-02-05
Job specializations:
  • IT/Tech
    AI Engineer, Cybersecurity, Cloud Computing
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Application Security Engineer AI/ML & SAST

North Carolina, Charlotte

02/02/2026

Contract

Active

Job Description:

Job Summary

We are seeking an Application Security Engineer (AI/ML & SAST) to support and enhance integrations between Checkmarx and Corgea for automated code remediation.

This role focuses on advancing Static Application Security Testing (SAST) capabilities using AI and Machine Learning, improving shift-left practices, and enabling secure development workflows.

The engineer will drive technical enhancements, integrate AI-driven features, and collaborate closely with development, security, and product teams.

Key Responsibilities

  • Develop and implement SAST strategies tailored for AI/ML codebases, including customization of SAST tools for LLM and AI/ML framework compatibility.
  • Automate SAST testing workflows and integrate them into CI/CD pipelines.
  • Provide hands-on technical support for Checkmarx and the Checkmarx ONE platform.
  • Support and enhance integration efforts between Checkmarx and Corgea for autocode remediation.
  • Drive vendor accountability to address product defects and improve platform reliability.
  • Support patching activities and perform upgrade testing for SAST and AI/ML-enhanced tooling.
  • Collaborate with Product Owners, Application Security Champions, developers, and offshore teams to support secure development practices.
  • Ensure documentation is accurate, up to date, and reflective of process or tooling changes.
  • Troubleshoot technical issues related to AI-assisted remediation, security scanning, and pipeline integrations.
Required Qualifications
  • 4+ years of application security experience.
  • 3+ years of hands-on AI/ML development experience using frameworks such as Tensor Flow or PyTorch.
  • 2+ years of experience with generative AI models, reinforcement learning, or autocode remediation models.
  • 2+ years of experience working in Agile environments and with Atlassian tools (Jira, Confluence, or equivalent).
  • Strong understanding of OWASP Top 10 vulnerabilities.
  • Excellent customer service skills and the ability to collaborate across multiple teams.
Preferred Qualifications
  • 2+ years of cloud experience.
  • 3+ years of scripting experience (Python preferred).
  • 2+ years of SQL experience.
  • 1+ year of experience using Corgea AI (preferred).
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