Senior AI Security Engineer

TeamViewer

Senior AI Security Engineer securing TeamViewer’s AI platform and agent-based systems. Designing controls, leading red-team testing, and guiding secure software development in Austin’s hybrid team.

Posted 8/7/2026full-timeAustin • Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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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 ArchitectureRed-Teaming and Adversarial TestingC++ ProgrammingOWASP Top 10 for LLM ApplicationsSecurity Best Practices Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Security Risk MitigationSecurity TestingAdversarial EvaluationsPermission and Approval FrameworksCryptographyNetwork SecurityAuthentication and AuthorizationSecure CodingSecurity AutomationDistributed Systems

Soft Skills

Strong CommunicationCollaborationProblem-Solving

Industry Keywords

AI SystemsAgent-Based SystemsSoftware Development LifecycleSecurity ControlsTraining on Secure Coding

Tech Stack

Tools & technologies

Distributed SystemsGoJavaPython

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Competitive compensation and bonuses
Flexible PTO and paid holidays
401(k) with employer matching
Comprehensive Health insurance package including 100% employer-paid medical coverage
Up to 12 weeks of Parental Leave
Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid
Quarterly teambuilding events, leadership luncheons, and companywide “All Hands” meetings
Open door policy and business casual dress code
Professional and personal growth opportunities
Accommodations or adjustments during the application or hiring process, including interview or onboarding support