AI Security Engineer
PTR Global
Fort Worth, TX, United States
8 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$124,800.0 - $135,200.0
Working hours
Regular working hours
Job source
Tech stack
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
+11 more
Large Language Models
Software Security
Generative AI
Information Technology
Machine Learning Operations
Claude
Google Gemini
GPT
Devsecops
Security Orchestration, Automation & Response
Vulnerability Analysis
Job 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.
Requirements
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.
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