AI Security Engineer

Hybrid Details: 3 days/week onsite

Duration: 11 months to start

Position Overview

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.

Key Responsibilities And Duties

• 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 channel
• Document security processes, architecture, and implementation details
  
  

Work Experience

• 8 Years required
• Technology: Java, Python or other similar programming language, React/Angular frameworks, AI/ML training & inference platforms AWS Bedrock, AWS Sagemaker, open-source & custom AI/ML models, Data Science, Terraform, Helm charts
  
  

Mandatory Skills

• 8 years' experience building enterprise grade full stack applications
• Strong hands-on development experience in Java or Python programming language including unit testing frameworks such as Junit or Pytest
• 5 years' experience in API development based on REST, gRPC methodologies using FastAPI, Spring REST or similar frameworks
• 5 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
  
  

Preferred Skills

• 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.