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The AI Security Engineer role focuses on developing and maintaining security solutions for AI applications. AI Security Engineer contributes to the development of horizontal enterprise level security solutions built by “Shared Security Services Engineering” Team. As a member of the team, you will be responsible for development, deployment, and maintenance of software security solutions to protect AI resources in the enterprise.
Job Responsibility:
Collaborate with AI/ML and Security architecture teams to understand use case requirements, platform security posture and develop software solutions to protect AI applications
Design and implement robust security measures to protect AI models from adversarial attacks, prompt injection, and jailbreaking attempts
Develop data protection mechanisms to prevent data exposure in AI systems
Create and maintain API services for AI security tools using modern frameworks
Build and enhance monitoring solutions for AI security posture assessment
Collaborate with cross-functional teams to integrate security controls into ML/AI workflows
Implement data loss prevention capabilities for sensitive information across various communication channels
Document security processes, architecture, and implementation details
Requirements:
8+ years of full stack development using Java, with hands-on experience in building scalable web applications
Strong foundation in machine learning, including model development, training, and integration into production systems
Capable of delivering end-to-end intelligent solutions by combining robust backend systems with AI-driven features
Experienced with modern frontend frameworks such as React or Angular for creating responsive and user-friendly interfaces
3+ years' experience in API development based on REST, gRPC methodologies using FastAPI, Spring REST or similar frameworks
3+ years' experience in development and maintenance of cloud native applications using Kubernetes or other container management solutions
Experience with development, deployment, performance tuning and maintenance of AI models and applications on cloud platform
Nice to have:
Well versed in Python programming language including unit testing frameworks such as Pytest
Good understanding of OWASP top 10 for AI and CISA guidelines for AI development
Preferrable to have a cybersecurity certification such as CISSP or like
Understanding of security risks in AI & Gen AI applications related to prompt injection attacks, data leakage, adversarial testing etc
Experience with observability frameworks (OpenTelemetry)