Senior AI Security Engineer

Jobtailor; Austin (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

TeamViewer is seeking a senior Security Architect to own the AI platform's security architecture, including agent integrations, permissions, auditing, and risk mitigation across customer endpoints and tenant data.

You will lead red-teaming, implement secure development practices, and collaborate with product and engineering teams to embed security into the lifecycle. Strong C++ and AI security expertise are essential for this role.

Qualifications

• 7+ years of experience in product, application, or platform security with a strong focus on AI and agent-based systems.
• Deep understanding of AI security risks and mitigation strategies, including OWASP Top 10 for LLM Applications.
• Hands-on security testing, red-teaming, and adversarial evaluations of AI systems.
• Programming experience in C++, along with familiarity with Java, C#, or Go, and Python for security automation and tooling.
• Strong knowledge of web applications, distributed systems, authentication, authorization, cryptography, and network security.
• Experience integrating security throughout the software development lifecycle and working closely with engineering teams to drive secure design decisions.
• Experience mentoring engineers and promoting security best practices across distributed teams.
• Strong communication, collaboration, and problem-solving skills.

Responsibilities

• Own the security architecture of TeamViewer's AI platform, including agent integrations, tool access, context management, and action execution.
• Identify and mitigate security risks in AI systems, including prompt injection, unauthorized tool use, excessive permissions, data exposure, and other emerging threats.
• Design and implement permission, approval, and auditing frameworks for AI-driven actions performed on customer endpoints and tenant data.
• Build security controls into products and development processes, and create scalable solutions adoptable across engineering teams.
• Secure the AI development lifecycle, including AI-generated code, third‑party dependencies, secrets management, and review processes.
• Lead red‑team exercises and adversarial testing of AI capabilities, using findings to strengthen platform security and evaluation frameworks.
• Partner with product and engineering teams to provide expert guidance on security risks and best practices.
• Develop and deliver training on secure coding, AI security, and responsible AI development.

Skills

AI Security Architecture

Red-Teaming and Adversarial Testing

C++ Programming

OWASP Top 10 for LLM Applications

Security Best Practices Mentoring

Job description

Security Architecture and Responsibilities

• Own the security architecture of TeamViewer's AI platform, including agent integrations, tool access, context management, and action execution.
• Identify and mitigate security risks in AI systems, including prompt injection, unauthorized tool use, excessive permissions, data exposure, and other emerging threats.
• Design and implement permission, approval, and auditing frameworks for AI-driven actions performed on customer endpoints and tenant data.
• Build security controls into products and development processes, and create scalable solutions adoptable across engineering teams.
• Secure the AI development lifecycle, including AI-generated code, third‑party dependencies, secrets management, and review processes.
• Lead red‑team exercises and adversarial testing of AI capabilities, using findings to strengthen platform security and evaluation frameworks.
• Partner with product and engineering teams to provide expert guidance on security risks and best practices.
• Develop and deliver training on secure coding, AI security, and responsible AI development.

Requirements

• 7+ years of experience in product, application, or platform security, with a strong focus on AI and agent‑based systems.
• Deep understanding of current AI security risks and mitigation strategies, including frameworks such as the OWASP Top 10 for LLM Applications.
• Hands‑on experience conducting security testing, red‑teaming, and adversarial evaluations of AI systems.
• Programming experience in C++, along with familiarity with Java, C#, or Go, and Python for security automation and tooling.
• Strong knowledge of web applications, distributed systems, authentication, authorization, cryptography, and network security.
• Experience integrating security throughout the software development lifecycle and working closely with engineering teams to drive secure design decisions.
• Experience mentoring engineers and promoting security best practices across distributed teams.
• Strong communication, collaboration, and problem‑solving skills.

Core Competencies

Expertise in AI security architecture, risk mitigation, and secure coding practices, with a strong focus on integrating security throughout the software development lifecycle and mentoring engineering teams on best practices.

Highest-signal resume keywords

• AI Security Architecture
• Red-Teaming and Adversarial Testing
• C++ Programming
• OWASP Top 10 for LLM Applications
• Security Best Practices Mentoring

Hard Skills

• AI Security Risk Mitigation
• Security Testing
• Adversarial Evaluations
• Permission and Approval Frameworks
• Cryptography
• Network Security
• Authentication and Authorization
• Secure Coding
• Security Automation
• Distributed Systems

Soft Skills

• Strong Communication
• Collaboration
• Problem‑Solving

Industry Keywords

• AI Systems
• Agent‑Based Systems
• Software Development Lifecycle
• Security Controls
• Training on Secure Coding