AI Security Engineer Bengaluru, India

SingleStore, Inc.; Mississippi; Remote; USD 110,000 - 150,000; Full time

Job summary

A leading company is seeking an AI Security Engineer to integrate AI and machine learning into its security operations. The role involves developing automation tools for threat detection, compliance monitoring, and security optimization. Ideal candidates will have extensive experience in security engineering and familiarity with AI frameworks. Opportunity for remote work and competitive benefits offered.

Benefits

Medical Insurance with family members covered

Death and Accidental insurance coverage

Remote opportunity

Phone, Internet & Wellness allowance

Opportunity to work in a global team

Qualifications

• 5+ years in Security Engineering, Compliance, or DevSecOps.
• Hands-on in applying AI/ML to security challenges.
• Proficiency in Python for automation scripts.

Responsibilities

• Develop AI automation tools for threat detection and compliance.
• Enhance security with AI-based anomaly detection.
• Implement self-healing security systems.

Skills

Cybersecurity principles

AI/ML techniques

Automation

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Terraform

Ansible

Job description

Position OverviewAs 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:

• Medical Insurance with family members covered
• Death and Accidental insurance coverage
• Remote opportunity
• Phone, Internet & Wellness allowance.
• Opportunity to work in a global team

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Education

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How many years of experience do you have in Security Engineering, Compliance, or DevSecOps with a focus on automation? * Select...

Which AI/ML frameworks have you used in production for security-related projects? (Select all that apply) *

TensorFlow

PyTorch

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Compliance monitoring

Identity and Access Management (IAM) analytics

Anomaly detection

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