AI Security Engineer

3 Weeks ago • 5 Years + • Cyber Security

Job Summary

Job Description

The AI Security Engineer will be responsible for integrating AI and machine learning into security and compliance processes. They will design, develop, and implement AI-driven automation to enhance security, proactively identify vulnerabilities, automate compliance, and improve threat detection and response. Responsibilities include developing AI-powered automation tools for threat mitigation, utilizing AI/ML for compliance monitoring, leveraging AI for threat intelligence and anomaly detection, developing machine learning models for risk assessment, implementing AI-based analytics for identity and access management, integrating AI solutions into security tools, designing self-healing security systems, applying AI for data protection, and optimizing AI-driven security models. The role involves collaboration with various teams and requires a strong understanding of cybersecurity principles and AI/ML techniques.

Must have:

5+ years of experience in Security Engineering.
Strong understanding of cybersecurity principles and compliance frameworks.
Hands-on experience in applying AI/ML techniques.
Proficiency in Python and security automation scripts.
Familiarity with cloud security best practices (AWS, GCP, or Azure).
Knowledge of AI/ML frameworks (TensorFlow, PyTorch, or Scikit-learn).
Experience with infrastructure automation tools (Terraform, Ansible).
Understanding of identity and access management.

Good to have:

Certifications in Security or Cloud Security.
Experience with AI-driven security platforms.
Knowledge of cryptography and secure coding practices.
Hands-on experience implementing AI-enhanced threat detection systems.
Experience in security governance and compliance automation.

Perks:

Medical Insurance with family members covered
Death and Accidental insurance coverage
Remote opportunity
One Long Weekend every month
Phone, Internet & Wellness allowance.
Opportunity to work in a global team
Flexible working hours

16 skills required

16 skills required for this role

Add these skills to join the top 1% applicants for this job

risk-management

risk-assessment

cryptography

aws

azure

threat-intelligence

ansible

terraform

cloud-security

scikit-learn

pytorch

ci-cd

python

sql

tensorflow

machine-learning

Job Details

Job Title: AI Security Engineer

Position Overview
As an AI Security Engineer, you will be responsible for integrating AI and machine learning into our security and compliance processes. You will work closely with the Security, Compliance, and Infrastructure teams to design, develop, and implement AI-driven automation to enhance our security posture. Your efforts will help us proactively identify vulnerabilities, automate compliance enforcement, and improve threat detection and response capabilities.

Responsibilities:

AI-Driven Security Automation: Develop and implement AI-powered automation tools to detect, analyze, and mitigate security threats in real-time.
Compliance Monitoring & Enforcement: Utilize AI/ML to automate compliance monitoring, ensuring adherence to regulatory and industry standards such as SOC 2, ISO 27001, and GDPR.
Threat Intelligence & Anomaly Detection: Leverage AI to analyze network and system activity, identifying abnormal behavior patterns and potential security breaches before they escalate.
Continuous Risk Assessment: Develop machine learning models that continuously assess security risks across cloud and on-premise environments, providing real-time insights and recommendations.
Identity and Access Management (IAM): Implement AI-based analytics to detect anomalous access patterns and enforce dynamic access control policies.
End-to-End Security Integration: Collaborate with Security, DevOps, and Compliance teams to integrate AI solutions into security monitoring, log analysis, and vulnerability management tools.
Self-Healing Security Systems: Design and implement AI-driven remediation mechanisms that can automatically patch vulnerabilities and mitigate security risks.
Data Protection & Encryption: Apply AI techniques to enhance data protection strategies, detecting unauthorized access and preventing data exfiltration.
Security Posture Optimization: Continuously evaluate and refine AI-driven security models to adapt to emerging threats and evolving compliance requirements.

Requirements:

5+ years of experience in Security Engineering, Compliance, or DevSecOps roles with a focus on automation.
Strong understanding of cybersecurity principles, compliance frameworks, and risk management.
Hands-on experience in applying AI/ML techniques to security and compliance challenges.
Proficiency in Python, with experience developing security automation scripts.
Familiarity with cloud security best practices across AWS, GCP, or Azure.
Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Experience with infrastructure automation tools (Terraform, Ansible) for security enforcement.
Understanding of identity and access management, zero-trust security models, and behavioral analytics.
Familiarity with CI/CD security integrations and DevSecOps methodologies.

Preferred Qualifications:

Certifications in Security (CISSP, CEH, OSCP) or Cloud Security (AWS Security Specialty, GCP Professional Security Engineer).
Experience with AI-driven security platforms such as Darktrace, Vectra AI, or Exabeam.
Knowledge of cryptography, secure coding practices, and application security.
Hands-on experience implementing AI-enhanced threat detection systems.
Experience in security governance and compliance automation.

About us:
SingleStore (www.singlestore.com) delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

What we offer: