AI Security Engineer

Required Skills & Experience

-Strong enterprise cybersecurity background -Hands-on DevSecOps experience working within development or DevOps teams and integrating security practices throughout the software development lifecycle -Experience working with code repositories and using automated security tools to continuously scan for vulnerabilities, exposed secrets, passwords, tokens, and other security risks -Experience building security automation and orchestration capabilities to support multiple projects and development teams -Strong Azure security and implementation experience -Practical experience using AI tools to improve security effectiveness, productivity, and decision-making -Working knowledge of security governance, compliance, and network observability -Strong written and verbal communication skills with the ability to coordinate across engineering, platform, security, compliance, and AI teams -Ability to build partnerships, influence stakeholders, explain the reasoning behind security initiatives, and gain cross-functional buy-in -Experience writing technical briefs and developing concise presentations for executive audiences

Nice to Have Skills & Experience

-Experience helping an organization securely scale AI adoption and innovation -Experience securing AI platforms, applications, or implementations within an enterprise environment -Experience designing or building secure AI development control planes -Knowledge of Azure AI tools and services -Demonstrated interest in applying AI capabilities within enterprise security -Ability to evaluate where AI can create value without disrupting established security tools, processes, and operational responsibilities

Job Description

Insight Global's client is seeking an AI Security Engineer with a strong enterprise security and DevSecOps background to help integrate security, governance, automation, and observability into developer workflows. This individual will work closely with development and DevOps teams to identify and remediate security risks throughout the development lifecycle, including vulnerabilities and weaknesses involving secrets, passwords, and token management.

The engineer will leverage Azure security capabilities, automation, orchestration, and practical AI tools to increase security effectiveness and expand coverage across multiple projects. While AI interest and experience are important, this is primarily an enterprise security role rather than a specialized AI research position.

Success in this role requires strong communication, partnership-building, and cross-functional influence. The engineer will serve as an ambassador between AI, security, compliance, engineering, and platform teams by explaining the purpose behind security initiatives, gaining organizational buy-in, writing technical briefs, and creating concise executive-level presentations. This individual should be solution-oriented, enthusiastic about practical AI adoption, and comfortable operating within an evolving enterprise AI environment.