Gen AI Security Engineer

Job Title: AI Security Engineer

Location: Durham, NC (Hybrid - 3 days onsite in a week)

Local Candidates Only

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 Secufull rity 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

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
• 5 methodologies using FastAPI, Spring REST or similar frameworks years'
• 5 experience in development and maintenance of cloud native
• 5 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.