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# AI Security Engineer

- **Company:** PTR Global
- **Location:** Fort Worth, TX, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing Security, Cyber Security, Information Leak Prevention, Python (Programming Language), OpenAI, Software Vulnerability Management, Google Cloud, Cloud Platform System, Large Language Models, Software Security, Generative AI, Information Technology, Machine Learning Operations, Claude, Google Gemini, GPT, Devsecops, Security Orchestration, Automation & Response, Vulnerability Analysis
- **Published:** October 27, 2026
- **Apply:** https://www.dice.com/job-detail/d56b80e5-798a-4359-ad0c-f1628d918084

## About the Role

Ideal Candidate: A security professional with expertise in cybersecurity and Generative AI who can secure AI applications, manage AI-related risks, and enable safe adoption of AI technologies across the organization., * Bachelor's degree in computer science, Cybersecurity, or related field.

 * 5+ years of Cybersecurity Engineering or Application Security experience.
 * Experience with Generative AI, LLMs (OpenAI GPT, Gemini, Claude, Llama), and AI security concepts.
 * Strong knowledge of Cloud Security (Azure, AWS, or Google Cloud Platform).
 * Proficiency in Python and security automation.
 * Experience with DevSecOps, threat modeling, and vulnerability management., * AI/ML security experience.
 * CISSP, CCSP, Azure Security, or AI-related certifications.
 * Knowledge of MLOps, Responsible AI, and AI Governance frameworks.

## Description

* Design and implement security controls for AI/ML and GenAI applications.
 * Conduct threat modeling, vulnerability assessments, and security reviews of AI solutions.
 * Protect AI systems against prompt injection, data leakage, model poisoning, and adversarial attacks.
 * Secure AI/ML pipelines, APIs, cloud environments, and MLOps platforms.
 * Collaborate with engineering, data science, and security teams to embed security throughout the AI lifecycle.
 * Develop AI security standards, governance frameworks, and monitoring capabilities.