Senior AI Security Engineer

McCarthy Building Companies
Dallas, AZ
Job Description
Role Overview

The Sr. AI Security Engineer will help secure the design, deployment, and operation of AI-enabled products and services. This role will help protect data, systems, users, and customers as generative AI, machine learning, and agentic technologies continue to evolve.

What You Will Do

Develop and maintain enterprise AI security standards, control requirements, and risk-based review processes. Assess AI applications, models, agents, APIs, integrations, vendors, and data flows before and after deployment.

Why It Might Be a Fit

The ideal candidate combines hands-on security architecture or engineering experience, production AI-security experience, and the ability to explain complex risks clearly to both technical and non-technical audiences.

Requirements

  • Bachelor’s degree in cybersecurity, computer science, information systems, engineering, or a related field, or equivalent professional experience.
  • Minimum five years of proven experience in an established security architecture, security engineering, architecture, or engineering role.
  • Working experience handling AI security in a production environment, including the assessment, governance, monitoring, or protection of AI applications, models, agents, or integrations.
  • Strong understanding of cybersecurity principles, including identity governance, least privilege, data protection, risk assessment, incident response, security architecture, and security governance.
  • Familiarity with OWASP LLM and AI risks, including prompt injection, indirect injection, jailbreaks, sensitive information disclosure, excessive agency, insecure output handling, and agent or tool-use security.
  • Practical understanding of generative AI architectures, large language models, retrieval-augmented generation, AI agents, APIs, and model or application lifecycle risks.
  • Ability to explain how risks such as indirect prompt injection or excessive agency would surface in a real agent workflow and how those risks could be detected, validated, and mitigated.
  • Experience evaluating security controls, technology vendors, data handling practices, privacy considerations, and third-party risk.
  • Ability to develop clear standards and communicate complex technical risks to engineers, product teams, business leaders, and executives.
  • Strong analytical, written, verbal, collaboration, and problem-solving skills.
  • Sound judgment, personal integrity, curiosity, and a demonstrated commitment to protecting confidential information.

Benefits

  • Equal opportunity employer, including disability and protected veteran status.
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