AI Engineer – Security

Programmers.io; Chicago (IL); On-site; USD 180,000 - 230,000; Full time

Job summary

Programmers.io in Chicago seeks a senior AI security engineer to build and secure AI/ML asset discovery, model inventory, and threat monitoring.

You will implement controls across CI/CD, IAM, and cloud platforms, perform red teaming, and collaborate with DS, DevOps, Cloud, and Apps teams.

Experience with Python, LangChain, PyTorch, and cloud security is essential; salary reflects seniority and market demand.

Qualifications

• 10+ years of Security Engineering, Cloud Engineering, or ML Engineering experience.
• Strong Python programming skills.
• Experience with LangChain, Hugging Face, TensorFlow, or PyTorch.
• MLOps / LLMOps Security.
• OWASP LLM Top 10 knowledge.

Responsibilities

• Build and maintain AI/ML asset discovery and model inventory solutions.
• Implement security controls for AI/ML pipelines and LLM deployments.
• Develop solutions for shadow AI detection and AI risk monitoring.
• Integrate AI threat signals into SIEM/SOAR platforms.
• Perform AI red teaming, prompt injection testing, and adversarial testing.
• Secure third-party and internally developed AI services.
• Implement CI/CD security controls and secure-by-design practices.
• Develop runbooks, standards, and documentation for AI security operations.
• Collaborate with Data Science, DevOps, Cloud, and Application teams.

Skills

Python programming

LangChain

Hugging Face

TensorFlow

PyTorch

MLOps / LLMOps Security

Cloud platforms (Azure / AWS / GCP)

IAM / Secrets Management

CI/CD / IaC

AI Security Threat Modeling

Prompt Injection / Data Poisoning

OWASP LLM Top 10

Tools

Splunk

Microsoft Sentinel

Job description

• Build and maintain AI/ML asset discovery and model inventory solutions.
• Implement security controls for AI/ML pipelines and LLM deployments.
• Develop solutions for shadow AI detection and AI risk monitoring.
• Integrate AI threat signals into SIEM/SOAR platforms.
• Perform AI red teaming, prompt injection testing, and adversarial testing.
• Secure third-party and internally developed AI services.
• Implement CI/CD security controls and secure-by-design practices.
• Develop runbooks, standards, and documentation for AI security operations.
• Collaborate with Data Science, DevOps, Cloud, and Application teams.

Required Skills

• 10+ years of Security Engineering, Cloud Engineering, or ML Engineering experience.
• Strong Python programming skills.
• Experience with LangChain, Hugging Face, TensorFlow, or PyTorch.
• MLOps / LLMOps Security.
• Azure, AWS, or GCP.
• IAM, Secrets Management, and Cloud Security Controls.
• CI/CD Pipelines and Infrastructure as Code (IaC).
• AI Security Threat Modeling.
• Prompt Injection, Model Inversion, Data Poisoning, Data Leakage Prevention.
• OWASP LLM Top 10 knowledge.

Preferred Skills

• Splunk, Microsoft Sentinel, or other SIEM/SOAR platforms.
• Security+ , GCIH, OSCP, AWS Security, or Azure Security certifications.
• Retail or PCI-regulated environment experience