Senior Application Security Engineer (AI/ML)

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AI Summary

Senior Application Security Engineer (AI/ML) role focuses on integrating Static Application Security Testing (SAST) tools with AI/ML-driven remediation capabilities. The engineer will enhance security pipelines by leveraging AI and machine learning to improve shift-left security practices and automate code remediation within application workflows. Key responsibilities include developing and implementing SAST strategies, customizing and integrating SAST tools with LLMs and AI/ML frameworks, and troubleshooting and resolving tool and integration issues.

Key Highlights
Integrate SAST tools with AI/ML-driven remediation capabilities
Enhance security pipelines using AI and machine learning
Troubleshoot and resolve tool and integration issues
Key Responsibilities
Develop and implement SAST strategies for AI/ML-based code
Customize and integrate SAST tools with LLMs and AI/ML frameworks
Automate testing and integrate security tools into CI/CD pipelines
Troubleshoot and resolve tool and integration issues
Provide hands-on technical support for Checkmarx and Checkmarx ONE platforms
Drive vendor accountability to address product defects
Support patching and upgrade testing
Collaborate with Product Owners, Application Security Champions, developers, and offshore partners
Maintain accurate and up-to-date documentation reflecting process changes
Technical Skills Required
Static Application Security Testing (SAST) AI/ML development TensorFlow PyTorch Generative AI models Reinforcement learning Auto-code remediation models OWASP Top 10 Jira Confluence Python SQL Corgea AI
Benefits & Perks
$90 per hour on W2
3 days onsite / 2 days remote
Visa sponsorship available
Nice to Have
2+ years of cloud experience
3+ years of scripting experience (Python)
2+ years of SQL experience
1+ year of experience with Corgea AI

Job Description


STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.

“Beware of scams. S3 never asks for money during its onboarding process.”


Job Title: Senior Application Security Engineer (AI/ML)

Contract Length: 6+ Months

Location: ISELIN NJ 08830/ Charlotte, NC/ Dallas, TX/ Phoenix, AZ

3 days onsite / 2 days remote (no fully remote option)

Pay: 90 per hr on W2


This role focuses on integrating Static Application Security Testing (SAST) tools with AI/ML-driven remediation capabilities. The engineer will enhance security pipelines by leveraging AI and machine learning to improve shift-left security practices and automate code remediation within application workflows.

Key Responsibilities

  • Develop and implement SAST strategies for AI/ML-based code
  • Customize and integrate SAST tools with LLMs and AI/ML frameworks
  • Automate testing and integrate security tools into CI/CD pipelines
  • Troubleshoot and resolve tool and integration issues
  • Provide hands-on technical support for Checkmarx and Checkmarx ONE platforms
  • Drive vendor accountability to address product defects
  • Support patching and upgrade testing
  • Collaborate with Product Owners, Application Security Champions, developers, and offshore partners
  • Maintain accurate and up-to-date documentation reflecting process changes

Required Skills & Experience (Must Have)

  • 4+ years of application security experience
  • 3+ years of AI/ML development experience (e.g., TensorFlow, PyTorch)
  • 2+ years working with generative AI models, reinforcement learning, or auto-code remediation models
  • 2+ years of Agile experience using tools such as Jira and Confluence (or equivalent)
  • Strong understanding of OWASP Top 10
  • Strong verbal, written, and interpersonal communication skills
  • Strong customer service skills
  • Ability to troubleshoot complex technology integration issues

Desired Skills

  • 2+ years of cloud experience
  • 3+ years of scripting experience (Python)
  • 2+ years of SQL experience
  • 1+ year of experience with Corgea AI

Additional Requirements

  • Must be able to work onsite in a hybrid model (3 days per week)
  • Must be able to collaborate across distributed teams and stakeholders


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