AI Security Engineer: Protect GenAI & Cloud AI Systems

PTR Global; Fort Worth (TX); On-site; USD 83,000 - 90,000; Full time

Job summary

PTR Global is seeking an AI Security Engineer in Fort Worth, TX to secure AI/ML and GenAI platforms, applications, and workflows. You will mitigate risks related to LLMs, data security, prompt injection, and cloud deployments, enabling safe adoption of AI technologies across the organization.

The candidate should have a strong cybersecurity background, hands-on experience with Generative AI, and proficiency in Python for security automation.

Qualifications

• Bachelor’s degree in computer science, cybersecurity, or a 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 GCP).
• Proficiency in Python and security automation.
• Experience with DevSecOps, threat modeling, and vulnerability management.

Responsibilities

• 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.

Skills

Generative AI security

LLMs security

Cloud security

Python

DevSecOps

Threat modeling

Vulnerability management

Education

Bachelor's degree in computer science or cybersecurity

Job description

PTR Global is seeking an AI Security Engineer in Fort Worth, TX to secure AI/ML and GenAI platforms, applications, and workflows. You will mitigate risks related to LLMs, data security, prompt injection, and cloud deployments, enabling safe adoption of AI technologies across the organization.

The candidate should have a strong cybersecurity background, hands-on experience with Generative AI, and proficiency in Python for security automation.