AI-Assisted Vulnerability Testing Developer

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