AI Security Engineer

New Yesterday

Job Description

Job Description
Position –& AI Security Engineer
Location: Durham, NC (3 days onsite in a week)
$55 hr c2c
10+ years of experience
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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.
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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
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Work Experience:
8+ Years required
Technology: Java, Python or other similar programming language, React/Angular frameworks, AI/ML training inference platforms – AWS Bedrock, AWS Sage maker, open-source custom AI/ML models, Data Science, Terraform, Helm charts
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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 Fast API, 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
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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.
Location:
Durham
Category:
Real Estate

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