Title: AI-Assisted Vulnerability Testing Developer
Duration: 3 Months
Client: WWT/Guardian Life
Location: Remote
Seeking an AI-Assisted Vulnerability Testing Developer to support the advancement of next-generation application security capabilities leveraging AI-assisted frontier models and Mythos-driven dialogue frameworks. This role will focus on expanding AI-driven vulnerability testing into enterprise code pipelines, enabling scalable, automated, and intelligent security validation across the software development lifecycle.
Key Responsibilities
Collaborate with security and engineering teams to evaluate and implement AI-assisted vulnerability testing solutions
Identify and assess viable tools and integrations, including:
AWS Security tools (static and penetration testing capabilities)
Burp Suite (manual and dynamic testing coverage)
Snyk (vulnerability analysis, reachability testing)
GitHub Actions / GitHub Advanced Security
Design and execute Proof of Concept (POC) efforts to validate AI-assisted testing approaches
Enable and configure selected solutions within development and CI/CD environments
Drive the transition from POC to production-ready implementation
Define and establish governance frameworks, including:
Training and enablement plans
Documentation and standards
Security scope and coverage
Support go-live execution, ensuring successful adoption across engineering pipelines
Develop a 2027 roadmap for pipeline integration, including scope definition and implementation planning
Assist with post-POC scaling and optimization efforts, ensuring long-term sustainability
Support licensing strategy, token usage, and funding considerations for AI-enabled security tools
Required Qualifications
5+ years of experience in application security, DevSecOps, or secure software development
Hands-on experience with:
Application security testing tools (SAST, DAST, SCA)
CI/CD pipeline integrations (e.g., GitHub Actions, Jenkins, etc.)
Familiarity with AI/ML-assisted development or security tools, including large language model (LLM)-driven workflows
Experience working with cloud security tools, preferably within AWS environments
Strong understanding of:
Application security principles (OWASP Top 10, vulnerability management)
Software development lifecycle (SDLC)
Ability to translate security findings into practical engineering solutions
Preferred Qualifications
Experience with:
AI frameworks or LLM-integrated security workflows
Snyk, Burp Suite, or similar tools
GitHub Advanced Security
Exposure to enterprise security governance and compliance frameworks
Experience supporting POC-to-production transitions in security or DevSecOps initiatives
Knowledge of AI cost modeling, token usage optimization, or tooling licensing strategies
Soft Skills
Strong problem-solving mindset with ability to evaluate emerging technologies
Excellent collaboration skills across engineering, security, and leadership teams
Ability to operate with high ownership in ambiguous, evolving environments
Effective communicator capable of driving technical alignment and adoption
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