AI Security Engineer

At NETSCOUT, we are an elite force of trailblazers, innovators, and problem solvers. We protect the connected world from cyberattacks and performance and availability disruptions through our unique visibility platform and solutions powered by pioneering deep packet inspection at scale technology. We are Guardians of the Connected World. We are looking for exceptional talent to join our team.

About NETSCOUT

NETSCOUT has been helping the world’s largest organizations solve their most complex digital challenges for more than 40 years.

NETSCOUT unlocks insight at unequaled scale, from every data packet to the broadest view of global internet traffic, so the world’s essential organizations can solve problems faster, constantly transform their digital ecosystems, secure what matters – and stay unstoppable for a world that relies on them every second.

Position Summary:

We're seeking an AI & SaaS Security Engineer - to design, implement, and continuously improve security controls for enterprise artificial intelligence systems, applications, models, agents, and supporting infrastructure. On the SaaS Applications side assess, monitor, and improve the security configuration and risk posture of our SaaS applications. This role will partner with Security, IT, Legal, Privacy, and business teams to identify and reduce risks throughout the AI lifecycle. and to ensure compliance with security best practices, regulatory requirements, and internal policies. The ideal candidate combines hands-on security engineering experience with practical knowledge of generative AI, machine learning platforms, cloud services, identity, data protection, and secure software development as well security frameworks, and risk assessment methodologies.

Responsibilities:

• Perform security assessments for SaaS applications and generative AI, machine learning, retrieval-augmented generation, AI agents, copilots, and externally hosted AI services.

• Maintain security guardrails for AI systems, including identity and access controls, secrets management, data loss prevention, encryption, network protections, logging, monitoring, and incident response integration.

• Evaluate AI applications, models, APIs, connectors, plug-ins, and vendors for risks related to sensitive data exposure, prompt injection, insecure output handling, model abuse, supply-chain compromise, excessive agency, and unauthorized access.

• Develop automated testing and monitoring for AI-specific vulnerabilities, unsafe configurations, anomalous activity, and policy violations using our internal tool (SecAIOps)

• Support AI-related security incidents by helping investigate model behavior, prompts, outputs, access activity, data flows, and third-party dependencies.

• Provide technical evidence and subject-matter expertise for audits, customer assurance activities, regulatory reviews, and risk assessments.