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Senior AI Security Architect - Predict & Prevent AI Threats

ahura workforce solutions • United State
Remote
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AI Summary

Lead AI security initiatives, design threat models, integrate AI into cybersecurity architectures. 5+ yrs AI security exp. required. Remote, long-term contract.

Key Highlights
Design & optimize AI-specific threat models
Collaborate across teams to integrate AI into security architectures
Analyze AI security incident data to improve models
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.
Integrate AI security tools and technologies across cybersecurity architectures, collaborating with data scientists, security engineers and other stakeholders.
Analyze AI security incident data to refine and improve AI models and methodologies.
Technical Skills Required
AI Security Machine Learning Python
Benefits & Perks
18-month contract to hire
100% remote work

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 - 100% Remote


Role Overview

The Principal AI Security Lead Architect 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

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

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 intel ligence)
  • 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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