AI Engineer – Network Security

Job: AI Engineer – Network SecurityLocation: Chicago, IL (Hybrid)Employment Type: Contract / C2CLevel: Mid / SeniorJob SummaryWe are looking for a hands-on AI Security Engineer to build and operationalize security controls for AI/ML platforms, Generative AI applications, and LLM-based systems. This role will focus on implementing secure AI development practices, AI threat detection, model security, and AI security automation across enterprise environmentsKey ResponsibilitiesDevelop and maintain AI/ML asset discovery and model inventory solutions.Implement security controls for AI/ML pipelines, MLOps, and LLMOps environments.Integrate AI risk signals into SIEM, SOAR, and monitoring platforms.Build automated AI security testing frameworks for:Prompt Injection TestingAdversarial TestingData Leakage PreventionJailbreak DetectionSecure internal and third-party AI/LLM integrations through APIs and guardrail frameworks.Collaborate with platform, application, and data science teams to embed AI security practices into CI/CD pipelines.Create technical documentation, standards, and security runbooks.Required Skills3+ years of experience in Security Engineering, Cloud Engineering, or ML Engineering.Strong Python programming skills.Experience with AI/ML frameworks such as:LangChainHugging FaceTensorFlowPyTorchKnowledge of LLM Security, AI Threat Modeling, and AI Risk Management.Experience with Azure, AWS, or GCP cloud platforms.Hands-on experience with IAM, Secrets Management, Network Security, and CI/CD pipelines.Understanding of AI security risks including:Prompt InjectionModel InversionData PoisoningInsecure Output HandlingExcessive Agency RisksExperience integrating security tools into automated DevSecOps environmentsPreferred QualificationsExperience with Splunk, Microsoft Sentinel, SIEM/SOAR platforms.Security+ , GCIH, OSCP, or Cloud Security Certifications.Retail, eCommerce, or PCI-regulated industry experience.