Application Security Engineer - AI/ML & SAST Integrations (Contingent)

In this role, you will consult on complex, large-scale initiatives within Specialty Software Engineering, focusing on application security for AI/ML-driven systems. You will play a key role in integrating Static Application Security Testing (SAST) solutions with AI-powered auto-code remediation capabilities, enhancing security processes across the CI/CD pipeline, and improving the "shift-left" security experience for development teams.

You will work closely with product owners, engineering teams, security champions, vendors, and offshore partners to deliver secure, scalable, and compliant solutions. Responsibilities

• Design, develop, and implement SAST strategies for traditional and AI/ML-based applications.
• Integrate Checkmarx with Corgea to enable AI-powered auto-code remediation for in-scope applications.
• Customize and enhance SAST tools to support LLMs and AI/ML frameworks.
• Automate security testing and integrate security tooling into CI/CD pipelines.
• Provide hands-on technical support for Checkmarx and Checkmarx ONE platforms.
• Drive vendor accountability by identifying, tracking, and resolving product defects.
• Support platform patching, upgrades, and upgrade testing.
• Troubleshoot complex security tool and technology integration issues.
• Collaborate with Product Owners, Application Security Champions, development teams, and offshore partners.
• Maintain accurate and up-to-date documentation reflecting process and platform changes.
• Consult strategically with stakeholders on complex security initiatives with broad organizational impact., * This role supports hybrid work and requires a consistent on-site presence.
• You will work on high-impact, enterprise-scale security initiatives involving AI and machine learning technologies.

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• 5+ years of Specialty Software Engineering experience or equivalent practical experience.
• 4+ years of application security experience.
• 3+ years of hands-on AI/ML development experience using frameworks such as TensorFlow or PyTorch.
• 2+ years of experience with generative AI models, reinforcement learning, or auto-code remediation models.
• 2+ years of experience working in Agile environments using tools such as Jira and Confluence (or equivalent).
• Strong understanding of OWASP Top 10 vulnerabilities.
• Ability to troubleshoot complex, multi-system integration issues.
• Strong verbal, written, and interpersonal communication skills with a customer-focused mindset., * 2+ years of cloud platform experience.
• 3+ years of scripting experience, preferably Python.
• 2+ years of SQL experience.
• 1+ year of experience using Corgea AI.