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AI Security Engineer

The Judge Group

 

Durham, NC, USA

Posted On: 2 days ago
Experience: 8+ years
Availability: Hybrid
Openings: 1
Category: AI Security Engineer
Tenure: No Preference/Any
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Description

You will secure and deploy AI models within enterprise full-stack environments.

This role is hybrid.

Responsibilities

  • Build and maintain full-stack enterprise applications using Java or Python.
  • Develop and secure APIs using REST and gRPC protocols.
  • Deploy and manage AI models on AWS Bedrock and SageMaker.
  • Manage containerized workloads using Kubernetes and cloud-native architectures.
  • Implement unit testing suites using JUnit or Pytest.

Required Skills

  • 8+ years of experience building full-stack enterprise applications.
  • Strong development background in Java or Python.
  • 5+ years of experience in API development (REST, gRPC).
  • Experience with security frameworks and cloud-native architecture.
  • Proficiency in Kubernetes and container management.
  • Hands-on experience deploying AI models on AWS Bedrock or SageMaker.
  • Expertise in unit testing with JUnit or Pytest.
  • Working knowledge of Gen AI technologies.

Preferred Skills

  • Cybersecurity certifications such as CISSP or OSCP.
  • Familiarity with Gen AI security risks including adversarial ML, data leakage, and prompt manipulation.
  • Experience with React or Angular for front-end integrations.

Education

Any Graduate

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