AI Security Architect

Job Title: AI Security Architect

Location: NY/NJ (Local candidates only)
Position Type: Full-Time (Salary Based)

Summary

We are seeking an experienced AI Security Architect to join our cybersecurity team. In this role, you will be responsible for designing and implementing security measures that ensure the resilience, integrity, and compliance of AI models and systems. You will play a critical role in building robust defenses against adversarial attacks, developing security frameworks for AI-powered solutions, and integrating AI security capabilities into enterprise-scale environments.

Key Responsibilities

• Leverage AI/GenAI tools such as OpenAI, Amazon Q, LangChain, LlamaIndex, or similar platforms to enhance security capabilities.

• Integrate AI technologies into security analytics, dashboards, and workflow automation.

• Analyze AI models, prompts, and their embedded security features.

• Conduct research on AI-enabled threats, adversarial machine learning attacks, and countermeasures.

• Develop adversarial testing frameworks to validate the robustness of AI security models.

• Design and implement guardrails for integrating AI security tools within enterprise infrastructure.

• Stay current with emerging AI threats, security research, and industry best practices.

• Present technical findings, risk assessments, and recommendations to executive and technical stakeholders.

• Define and document security requirements for AI-powered solutions at scale.

• Partner with IT and business teams to deploy AI-enhanced security solutions.

• Engage with vendors on AI security tools, technologies, and implementations.

• Ensure compliance with industry regulations and internal security policies.

• Lead cross-functional initiatives to integrate AI security across organizational units.

• Define metrics and KPIs to measure the effectiveness of AI security programs.

• Implement security measures to protect AI systems from cyber threats and vulnerabilities.

Requirements

• 15+ years of experience in cybersecurity, with a strong focus on security architecture.

• Hands-on AI/ML development experience with frameworks such as Python, TensorFlow, PyTorch , or similar.

• Deep understanding of cybersecurity fundamentals: network security, endpoint protection, and threat hunting.

• Experience with both traditional security tools and AI/ML-based solutions .

• Proficiency in data science libraries (pandas, scikit-learn, NumPy) and big data technologies.

• Expertise in adversarial machine learning, AI red teaming, and model security.

• Experience with cloud security platforms (AWS Security Hub, Azure Sentinel, Google Chronicle, etc.).

• Strong knowledge of AI technologies, security testing frameworks, and threat intelligence.

• Proficiency in relevant programming languages (Python, Java, or similar).

• Strong communication and leadership skills with the ability to drive cross-functional security initiatives.