AI Summary
Drive AI security development and optimization. Implement machine learning models and neural networks. Ensure compliance with industry standards.
Key Highlights
Design and develop AI-security specific threat models and tools
Implement and secure machine learning models and neural networks
Integrate AI security tools and technologies across cybersecurity architectures
Analyze AI security incident data to refine and improve AI models and methodologies
Technical Skills Required
Benefits & Perks
100% remote work
Contract to hire opportunity
Job Description
Customer - Our customer is a telecommunication giant
Job title - Principal AI Security Architect - 100% REMOTE
Type - Contract to hire - C2H
Location - Remote
Role Overview:
The Principal AI Security 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 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)