AI Security Engineer

Avesta Computer Services • United State
Remote
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AI Summary

Drive AI security development and optimization. Implement and secure machine learning models. Integrate AI security tools and technologies.

Key Highlights
Design and optimize AI-security specific threat models
Implement and secure machine learning models
Integrate AI security tools and technologies
Technical Skills Required
Python R Java Azure AWS NIST ISO42002 OWASP top 10 for LLM Agentic MCP
Benefits & Perks
100% remote work
Contract to hire opportunity

Job Description


Customer - Our customer is a telecommunication giant


Job title - AI Security Engineer - 100% REMOTE


Type - Contract to hire - C2H


Location - Remote


Role Overview:

The AI Security Engineer will drive the development and optimization of the advanced tools and processes and workflows to predict and prevent AI specific threats. this hands-on technical leadership role combines deep research in AI security with close collaboration across teams to integrate AI capabilities into robust cybersecurity architectures.


Key responsibilities:


  • Design, develop and optimize AI- Security Specific threat models tools solutions for threat identification, prediction and prevention.
  • Implement and secure machine learning models, neural networks and AI techniques to enhance threat detection, monitoring and risk scoring
  • Integrate AI security tools and technologies across cybersecurity architectures, collaborating with data scientists, security engineers and other stake holders
  • Analyze AI security incident data to refine and improve AI models and methodologies.
  • ensure compliance with industry standards (NIST, ISO42002, OWASP top 10 for LLM) and advanced security architecture (Agentic, MCP)


Required qualifications

  • 2 to 3 years of experience in AI focused on cybersecurity in an enterprise environment.
  • Expertise in python, R, Java, or similar programming languages.
  • Deep understanding of machine learning, neural networks and application to security systems.
  • Hands - on experience with AI security technologies (intrusion detection, anomaly detection, threat intelligence).
  • 3+ years in experience in Azure OR AWS cloud native services.
  • Advanced knowledge of security and governance frameworks (NIST, ISO42002, OWASP top 10 for LLM)


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