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.
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