Senior Application Security Engineer (AI/ML)

About This Role

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