Senior AI Security Engineer

About the role

The organization operates within the Internet of Things (IoT) sector, focusing on physical operations that support industries contributing over 40% of global GDP, including agriculture, construction, field services, transportation, and manufacturing. It addresses the challenge of improving safety, efficiency, and sustainability in these physical operations by providing a Connected Operations Cloud platform that delivers actionable insights through IoT data, facilitating digital transformation at scale.

The SENIOR AI SECURITY ENGINEER plays a critical role at the intersection of security engineering and applied artificial intelligence. This position is responsible for enhancing the security posture of the organization's applications by leveraging advanced AI models to identify, test, and mitigate vulnerabilities, particularly against AI-driven threats. The role contributes to shaping the AI security strategy, ensuring the protection of software, cloud environments, and hardware firmware against evolving adversarial risks.

Responsibilities

• Conduct thorough security assessments of software, code, and firmware to evaluate resilience against AI-driven adversarial attacks and implement necessary fixes.
• Adapt general AI security findings to the organization's specific application security context, including hardware and embedded firmware.
• Develop and test AI-enabled security tools and workflows, promoting adoption across the security team.
• Collaborate cross-functionally with engineering, hardware teams, and leadership on AI-related security risks and threat modeling.
• Define and advance medium- and long-term AI security strategies within security operations.
• Utilize frontier AI and large language model tools for offensive (red-teaming) and defensive security purposes.
• Support and embody the organization's cultural principles as it scales globally.

Requirements

• Minimum of 8 years' experience in application security, vulnerability management, threat modeling, or offensive security with demonstrated impact across an organization.
• Practical experience applying AI/LLM tools in security workflows, including building with APIs, agents, or automation.
• Proven ability to perform technical security assessments across software and hardware/firmware environments.
• Experience collaborating with engineers to create secure code using languages such as GoLang.

Skills

• Skills in developing AI and agentic solutions using platforms like GitHub and AWS cloud.