AI security engineer

  • Texas City, TX
  • Posted 9 hours ago | Updated 9 hours ago

Overview

On Site
$90 - $100
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
10% Travel
Able to Provide Sponsorship

Skills

Cloud Computing
Cloud Security
Computer Science
Communication
Regulatory Compliance

Job Details

We are seeking an experienced AI Security Consultant for a potential contract/consulting engagement. The consultant will play a critical role in safeguarding AI/ML systems across their full lifecycle ensuring secure design, deployment, and governance. The ideal candidate will have hands-on expertise in Zero Trust principles, model integrity, adversarial robustness, and sensitive data protection.

Must-Have Skills

  • Zero Trust Architecture design and implementation for AI/ML systems
  • PII Anonymization & Tokenization for privacy and compliance
  • Model Lifecycle Security, including:
    • Provenance and integrity
    • Adversarial robustness
    • Model watermarking
  • Secure Model Deployment across cloud/on-prem environments
  • Third-Party Model Vetting and risk assessment

Key Responsibilities

  • Design and implement Zero Trust Architecture frameworks tailored for AI/ML environments.
  • Apply PII anonymization and tokenization techniques to protect sensitive data while ensuring compliance with regulatory standards.
  • Drive model lifecycle security initiatives, including:
    • Verifying model provenance and maintaining integrity.
    • Building defences against adversarial attacks to strengthen robustness.
    • Embedding model watermarking for ownership verification and tamper detection.
  • Lead and implement secure model deployment practices across enterprise and cloud ecosystems.
  • Conduct third-party model vetting to identify vulnerabilities, ensure compliance, and assess overall trustworthiness.

Preferred Skills

  • Strong background in cybersecurity, cloud security, or applied cryptography.
  • Familiarity with data privacy regulations (GDPR, HIPAA, CCPA, etc.) related to AI/ML systems.
  • Hands-on experience with secure MLOps pipelines and DevSecOps practices.
  • Strong analytical, problem-solving, and communication skills to work with cross-functional teams.

Qualifications

  • 7+ years of experience in cybersecurity, data security, or AI/ML security roles.
  • Demonstrated experience implementing security frameworks for AI/ML systems.
  • Advanced degree in Computer Science, Cybersecurity, Artificial Intelligence, or related field (preferred).
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