Cloud Security Engineer

RAIS USA; Fort Worth (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

RAIS USA is seeking an AI Security Engineer to secure AI/ML and GenAI platforms, applications, and workflows. The role focuses on mitigating risks related to LLMs, AI models, data security, prompt injection, and cloud deployments.

You will design controls, conduct threat modeling, and collaborate with cross-functional teams to embed security across the AI lifecycle, while advancing governance and monitoring capabilities.

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 and AI security concepts.
• Strong knowledge of cloud security across major providers.

Responsibilities

• Design and implement security controls for AI/ML and GenAI applications.
• Conduct threat modeling, vulnerability assessments, and security reviews.
• 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.
• Develop AI security standards, governance frameworks, and monitoring capabilities.

Skills

Python

DevSecOps

Threat modeling

Vulnerability management

AI security concepts

Generative AI security

Security automation

Education

Bachelor's degree in Computer Science or Cybersecurity

Tools

Azure

AWS

GCP

Job description

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.