AI Cybersecurity Engineer

Doist; Naples (FL); On-site; USD 140,000 - 260,000; Full time

Benefits offered by this job

Security clearance premiums

Job summary

Doist is seeking a senior AI security engineer in the United States (Naples, FL) to develop AI-powered threat detection and automated incident response. Responsibilities include designing ML models for anomaly detection, collaborating with SOC teams, and researching AI security threats.

A strong background in cybersecurity with AI/ML applications is required. The role emphasizes cloud security, zero-trust principles, and expanding security analytics capabilities, with competitive compensation

Qualifications

• Bachelor's or Master's degree in Cybersecurity, Computer Science, or related field.
• 4+ years cybersecurity experience with 2+ years applying AI/ML to security use cases.
• Strong understanding of machine learning algorithms and their security implications.
• Experience with SIEM platforms, threat intelligence, and security analytics.
• Knowledge of adversarial machine learning and AI model attacks.
• Proficiency in Python, R, or similar languages for security data analysis.
• Security certifications (CISSP, CISM, GCFA, etc.) preferred.
• Understanding of cloud security and zero-trust architecture principles.

Responsibilities

• Develop AI-powered threat detection and response systems.
• Design machine learning models for anomaly detection and behavioral analysis.
• Implement automated incident response workflows using AI technologies.
• Conduct security assessments of AI/ML systems and models.
• Develop adversarial AI defense mechanisms and model robustness testing.
• Collaborate with SOC teams to integrate AI tools into security operations.
• Research emerging AI security threats and develop countermeasures.
• Design security frameworks for AI model deployment and data protection.

Skills

Machine learning for security

Python / R for data analysis

Threat detection & response

Education

Bachelor's or Master's in Cybersecurity / CS

Tools

Python

R

SIEM

Threat intelligence platforms

Job description

Protect organizations from evolving cyber threats by leveraging artificial intelligence and machine learning for advanced threat detection, automated response, and security analytics at scale.

Key Responsibilities

• Develop AI-powered threat detection and response systems
• Design machine learning models for anomaly detection and behavioral analysis
• Implement automated incident response workflows using AI technologies
• Conduct security assessments of AI/ML systems and models
• Develop adversarial AI defense mechanisms and model robustness testing
• Collaborate with SOC teams to integrate AI tools into security operations
• Research emerging AI security threats and develop countermeasures
• Design security frameworks for AI model deployment and data protection

Requirements

• Bachelor's or Master's degree in Cybersecurity, Computer Science, or related field
• 4+ years cybersecurity experience with 2+ years applying AI/ML to security use cases
• Strong understanding of machine learning algorithms and their security implications
• Experience with SIEM platforms, threat intelligence, and security analytics
• Knowledge of adversarial machine learning and AI model attacks
• Proficiency in Python, R, or similar languages for security data analysis
• Security certifications (CISSP, CISM, GCFA, etc.) preferred
• Understanding of cloud security and zero-trust architecture principles

Benefits

• Compensation Range: $140,000 - $260,000+ plus security clearance premiums