Drimva

MathWorks

Principal AI Security Engineer

$145K–$231K

Natick, MA · Principal · Full-time · Posted Oct 28, 2026

Experience
10 years of professional work experience (or equivalent experience).
Education
A bachelor's degree (or equivalent experience).
Visa sponsorship
Visa sponsorship will not be provided. Candidates must be authorized to work in the United States full-time for any employer without restriction.

About the job

Serves as the enterprise security expert for AI platforms and use cases, designing safeguards, assessing risks, and helping teams adopt AI securely.

What you'll do

  • Assess AI-specific risks and conduct security architecture reviews, threat modeling, and risk evaluations.
  • Design and validate AI security controls, monitoring, logging, detection, and response processes.
  • Translate governance requirements into technical safeguards, reusable guidance, and operational processes.

What they ask for

  • Experience in a technical security discipline such as security engineering, cloud security, data security, application security, or detection engineering.
  • Experience implementing, operating, or validating security controls and conducting security assessments or threat modeling.
  • Experience translating security risks and governance requirements into practical safeguards and implementation plans.
  • Strong understanding of data protection principles and strong analytical, communication, and collaboration skills.

Nice to have

  • Experience securing AI platforms, agents, machine learning systems, or emerging technologies; knowledge of AI-specific threats and architectures.
  • Familiarity with scripting, security automation, relevant standards or guidance, reusable security patterns, or AI security/governance certifications.

Pay

144,600–231,300 USD (yearly) base salary

Tools

DLP, SIEM, APIs, Model Context Protocol, retrieval-augmented generation, NIST AI RMF, NIST Cybersecurity Framework, ISO/IEC 27001

AI focus

Secures AI platforms, agents, integrations, data sources, and infrastructure; addresses AI-specific threats and establishes controls, monitoring, and governance for safe AI adoption.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)