Job description

Job: AI Engineer – Network Security

Location:

Chicago, IL (Hybrid)

Employment Type:

Contract / C2C

Level:

Mid / Senior

Job Summary

We 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 environments

Key Responsibilities

Develop 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 Testing
Adversarial Testing
Data Leakage Prevention
Jailbreak Detection
Secure 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 Skills

3+ years of experience in Security Engineering, Cloud Engineering, or ML Engineering.
Strong Python programming skills.
Experience with AI/ML frameworks such as:
LangChain
Hugging Face
TensorFlow
PyTorch
Knowledge 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 Injection
Model Inversion
Data Poisoning
Insecure Output Handling
Excessive Agency Risks
Experience integrating security tools into automated DevSecOps environments

Preferred Qualifications

Experience with Splunk, Microsoft Sentinel, SIEM/SOAR platforms.
Security+ , GCIH, OSCP, or Cloud Security Certifications.
Retail, eCommerce, or PCI-regulated industry experience.