AI Security Engineer - Remote

Application security background with practical experience in secure integration patterns, API security, gateway hardening, and DLP configuration at the network or proxy layer Working understanding of AI agent architectures, MCP integrations, prompt injection risks, and the evolving attack surface introduced by agentic coding tools and autonomous AI workflows Familiarity with enterprise developer toolchains and the ability to embed security controls into CI/CD pipelines, including SAST, secrets detection, and dependency review for AI-generated code Experience with cloud identity services (Azure AD/Entra ID, M365) and cloud-native security tooling in production environments Strong hands-on experience with identity and access management including OAuth/OIDC flows, token lifecycle management, and non-human identity governance (service accounts, API keys, workload identities) Red teaming or offensive security experience, with the ability to stand up adversarial testing capabilities targeting AI systems, prompt interfaces, and automated workflows