About the role
About Brillio
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Staff Security Engineer – AI
Primary Skills
- SAP GRC, Nessus, Information Security & Cybersecurity, Cloud Security, Archer, Metasploit, Wireshark, Burpsuite, AWS Secrets Manager, Nmap, PaaS - Security, CxSAST, Web Application Scanning (WAS), ServiceNow GRC, AppScan
Job requirements
- We are looking for an experienced AI Security Engineer who can drive AI and LLM security initiatives, establish security standards, and implement robust technical controls across AI/ML platforms, agentic AI systems, and enterprise AI applications.
This role combines strategic security leadership, hands-on engineering, AI infrastructure protection, and automation. The individual will work closely with AI platform, engineering, and security teams to define security roadmaps, mitigate emerging AI threats, and establish secure-by-design practices across the AI development lifecycle.
Key Responsibilities
This role will focus on AI security strategy, engineering, governance, and automation.
- AI Security Strategy and Roadmap: Define and drive the long-term AI and Agentic AI security roadmap, including security architecture, technical standards, and implementation strategies in collaboration with AI platform and engineering teams.
- AI Infrastructure Security: Design and implement technical security controls to protect AI environments, including autonomous agent permissions, blast radius management, and advanced prompt injection detection.
- Model Context Protocol (MCP) Security: Establish centralized security standards for Model Context Protocol (MCP) implementations and oversee secure, resilient MCP hosting infrastructure supporting autonomous AI agents.