AI Security Engineer: Build Secure ML Pipelines

TechDigital Group; Bolingbrook (IL); On-site; USD 120,000 - 170,000; Full time

Job summary

TechDigital Group in the United States is seeking an AI Engineer focused on security for the expanding AI program. This hands-on role builds tooling, pipelines, and controls to secure AI initiatives and enable secure-by-design development across the enterprise.

You will collaborate with data science and platform teams to embed security requirements into the AI development lifecycle, implement risk detection, and integrate with SIEM/SOAR and monitoring tools while advancing guardrail automation

Qualifications

• 3+ years in security or ML engineering with hands-on AI/LLM systems.
• Proficiency in Python and ML/LLM frameworks and security tooling.
• Experience with cloud platforms (Azure/AWS/GCP) and IAM/secrets management.
• Knowledge of AI threat models and secure-by-design practices.

Responsibilities

• Design, build, and maintain tooling for AI asset discovery and model inventory.
• Implement security controls for AI pipelines, including data protection and deployment security.
• Integrate AI risk signals into SIEM/SOAR and monitoring platforms.
• Build automated testing and red-teaming harnesses for AI apps.
• Support secure integration of third-party and internal AI/LLM services.
• Collaborate to embed security requirements into the AI development lifecycle.

Skills

AI/ML security

Python

CI/CD security

Threat modeling

Security engineering

Tools

LangChain

Hugging Face

TensorFlow

PyTorch

Guardrail frameworks

Model scanning tools

SIEM/SOAR

Splunk

Cloud platforms (Azure/AWS/GCP)

Job description

TechDigital Group in the United States is seeking an AI Engineer focused on security for the expanding AI program. This hands-on role builds tooling, pipelines, and controls to secure AI initiatives and enable secure-by-design development across the enterprise.

You will collaborate with data science and platform teams to embed security requirements into the AI development lifecycle, implement risk detection, and integrate with SIEM/SOAR and monitoring tools while advancing guardrail automation