Senior AI Security Engineer, ServiceNow

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
• 5+ Years of experience as a Security Engineer
• Familiar with building a GenAI product and put into production
• Familiar with Application Security Concepts & Tools (Such as SAST, DAST, SCA, OWASP Top Ten, SDLC)
• Experience with DevSecOps practices and concepts, such as CI/CD Pipeline Security, container security
• Good understanding of Cloud Services and Infrastructure, Ideally AWS
• A good level of programming languages such as Python, Rust or Go, and Juypter notebooks
• Knowledge of ML frameworks such as PyTorch, TensorFlow, HuggingFace
• An understanding of AI Governance, privacy, compliance frameworks
• An understanding of AI Model development, adversarial attacks (evasion, poisoning, backdoors) of models, prompt injection, and LLM misuse

Desirable

• The ServiceNow Security Organization (SSO) delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact
• We’re looking for an experienced Senior AI Security Engineer to join our team. This person will be responsible for helping build and design solutions for LLM Model Scanning and security concerns
• You’ll work at the intersection of application security, AI governance, and advanced ML frameworks, helping shape enterprise-level standards for safe and responsible AI adoption
• Design, and solve cutting edge AI security problems for LLM Models built in ServiceNow within the Application Security space
• Research emerging LLM Model threats, and methods to reduce risk for an enterprise organization
• Researching and recommending enterprise level controls for reducing AI or LLM Model security risks
• Maintain, build, and keep services within acceptable SLA standards for reliability and operational excellence