security engineer

Overview

On Site
$70 - $80
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
10% Travel
Able to Provide Sponsorship

Skills

AngularJS
Kubernetes
JUnit

Job Details

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 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

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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