AI Security Engineer

Mastech Digital is seeking an AI Security Engineer to enhance information security capabilities through AI agents and automation. The role involves designing and maintaining AI-driven tools for security requests, collaborating with various teams, and ensuring the ethical use of AI in security processes.

Responsibilities:

• Support the design and creation of AI agents that enhance information security capabilities
• Create and maintain automated agents to handle mundane and repeatable security requests, such as:
• Access and entitlement reviews
• Evidence collection for audits and compliance
• Policy guidance and security FAQs
• Intake and triage of security questionnaires and risk assessments
• Security documentation and reporting
• Define and implement guardrails for AI agents, such as:
• Role-based access controls and least-privilege permissions
• Human-in-the-loop approvals for sensitive or high-risk actions
• Logging, monitoring, and auditability of agent activity
• Clear escalation paths when confidence thresholds or policy boundaries are exceeded
• Collaborate with engineering, data, and AI teams to integrate AI agents into existing workflows
• Test and validate AI-driven security tools to ensure accuracy, reliability, and ethical use
• Participate in security reviews for new data and AI initiatives
• Define key performance indicators to measure the effectiveness of AI agent automation

Requirements:

• Bachelor's degree (preferred) in information security, Computer Science, Information Systems, Data Science, Engineering, or a related field
• OR HS Diploma/GED (minimum) with equivalent proven practical experience through relevant work, internships, bootcamps, or self-directed learning
• 5–7+ years of experience in one or more of the following: Information security or cybersecurity, Cloud engineering, data engineering, or platform operations with security exposure
• Hands-on experience supporting or securing: Data platforms, analytics environments, or cloud infrastructure, APIs, applications, or internal tooling
• Exposure to AI, machine learning, such as using and supporting AI/ML tools and platforms, building automations or AI-assisted workflows, participating in AI or data-related projects from a security perspective