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We are seeking an AI Security Engineer to secure AI/ML and Generative AI platforms, applications, and workflows. The ideal candidate will identify and mitigate risks related to LLMs, AI models, data security, prompt injection, model abuse, and cloud-based AI deployments.
Key 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.
Required Qualifications: 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 GCP).Proficiency in Python and security automation. Experience with DevSecOps, threat modeling, and vulnerability management.
Preferred Qualifications: 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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Level

Lead L6

Location

Fort Worth, TX

Occupation

Information Security Engineers

Industry

Computer Systems Design Services

Posted

yesterday

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