AI Security Engineer

Qualifications

• 10+ years of software engineering experience, with at least 2-3 years focused in the AI/ML security sub-domain, and at least 1 year using modern LLM systems daily
• Hands-on experience with LLM application architecture: RAG, tool use, agent orchestration frameworks (LangChain, LlamaIndex, CrewAI, or similar)
• Practical experience with adversarial ML techniques: prompt injection, data poisoning, model inversion, evasion attacks
• NHI security implementation: service account hygiene, secrets rotation, OAuth/OIDC for machine-to-machine authentication
• Security monitoring for AI in production: behavioral baselines, output anomaly detection, audit logging
• Strong coding ability — Python required; comfortable with LLM SDKs, agent frameworks, and CI/CD pipeline integration
• Familiarity with AI governance frameworks: NIST AI RMF, ISO/IEC 42001, emerging EU AI Act controls
• Bonus: red team or penetration testing background applied specifically to AI systems
• Bonus: experience building reusable security tooling or accelerators packaged for delivery across multiple clients

Want to learn more about Consulting & Security Services? Check us out on our platform

https://www.wwt.com/consulting-services

https://www.wwt.com/category/security-transformation

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $140,000 to $170,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the...