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Strong global brand plus niche AI-AppSec skillset and seniority yield moderate applicant competition.
Highly domain-specific AppSec and AI governance skills limit transferability across industries.
Strict years, specialized AppSec and AI/LLM expertise, and certifications make filtering rigorous.
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Lead design and implementation of enterprise AI Harness platform integrating AI-powered code analysis and security testing into DevSecOps workflows.
Develop and operationalize AI agents for vulnerability detection, code quality analysis, and automated remediation guidance.
Collaborate with engineering and security teams to embed AI-driven application security capabilities in CI/CD pipelines and manage governance of AI security processes.
Bachelor's degree in Computer Science, IT, Cybersecurity, Engineering, or related field.
10 to 15 years of relevant experience in application security, AI integration in security workflows, and DevSecOps.
Experience with Software Development (Java, .NET, Python, Go, JavaScript, Node.js) and AI technologies including Large Language Models (GPT, Claude, Gemini, etc).
Work Requirement: Hybrid work model with 4 days per week in office; standard business hours with flexibility across time zones.
Deep expertise in application security domains such as SAST, DAST, SCA, Container Security, and Secure SDLC, combined with hands-on AI/ML model integration skills.
Demonstrated ability to design and deploy AI-driven security automation frameworks and lead AI governance in application security contexts.
Experienced in partnering cross-functionally with software engineering, cloud, and security teams to drive adoption of AI-powered security solutions within agile, cloud-native environments.