Government Careers

  • AI Security / Compliance Engineering Analyst

  • United Software Group
  • Jersey City, New Jersey 07310 United States View Map

AI Security / Compliance Engineering Analyst

This role focuses on securing modern AI/ML systems, including LLM-based applications. You will design security architectures that protect data, models, and infrastructure from emerging threats specific to AI workloads.

What You'll Do

  • AI Security Architecture: Implement secure design patterns for ML pipelines, APIs, and model endpoints.
  • Threat Modeling: Identify and mitigate risks such as prompt injection, model inversion, data poisoning, and adversarial attacks.
  • Cloud Security: Enforce IAM, encryption, and network security across cloud platforms.
  • Compliance Implementation: Ensure systems meet GDPR, HIPAA, SOC 2, and other standards through automated controls and audits.
  • Monitoring & Response: Build logging and alerting systems for anomalous model behavior or unauthorized access.

Basic Qualifications:

  • 7-10 years of experience in cybersecurity, preferably with exposure to ML systems

Preferred Qualifications:

  • Background in cybersecurity with exposure to ML systems.
  • Experience securing cloud-native architectures.
  • Understanding of AI-specific vulnerabilities and mitigation strategies.
  • Familiarity with DevSecOps and infrastructure-as-code tools (Terraform).

AI Security / Compliance Engineering Analyst

This role focuses on securing modern AI/ML systems, including LLM-based applications. You will design security architectures that protect data, models, and infrastructure from emerging threats specific to AI workloads.

What You'll Do

  • AI Security Architecture: Implement secure design patterns for ML pipelines, APIs, and model endpoints.
  • Threat Modeling: Identify and mitigate risks such as prompt injection, model inversion, data poisoning, and adversarial attacks.
  • Cloud Security: Enforce IAM, encryption, and network security across cloud platforms.
  • Compliance Implementation: Ensure systems meet GDPR, HIPAA, SOC 2, and other standards through automated controls and audits.
  • Monitoring & Response: Build logging and alerting systems for anomalous model behavior or unauthorized access.

Basic Qualifications:

  • 7-10 years of experience in cybersecurity, preferably with exposure to ML systems

Preferred Qualifications:

  • Background in cybersecurity with exposure to ML systems.
  • Experience securing cloud-native architectures.
  • Understanding of AI-specific vulnerabilities and mitigation strategies.
  • Familiarity with DevSecOps and infrastructure-as-code tools (Terraform).
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