Principal AI Security Lead Architect

ahura workforce solutions • United State
Remote
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AI Summary

Drive AI security development and optimization, integrating AI capabilities into robust cybersecurity architectures. Design, develop, and optimize AI-security specific threat models, tools, and solutions. Implement and secure machine learning models, neural networks, and AI techniques.

Key Highlights
AI security development and optimization
AI threat model design and development
Machine learning model implementation and security
Key Responsibilities
Design, develop and optimize AI-security specific threat models, tools, and solutions.
Implement and secure machine learning models, neural networks, and AI techniques.
Integrate AI security tools and technologies across cybersecurity architectures.
Technical Skills Required
Python Machine Learning Cybersecurity
Benefits & Perks
Remote work
Contract to hire - C2H - Long term 18 months

Job Description


Customer - Our customer is a telecommunication giant

Job title - Principal AI Security Lead Architect

Type - Contract to hire - C2H - Long term 18 months

Location - Remote


Role Overview

The Principal AI Cybersecurity 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

  • 5 plus 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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