AI Security Engineer

NETSCOUT•Westford, MA

4d•$109,500 - $156,400

About The Position

NETSCOUT is 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. The role also assesses, monitors, and improves the security configuration and risk posture of SaaS applications. The engineer partners with Security, IT, Legal, Privacy, and business teams to identify and reduce risks throughout the AI lifecycle and ensure compliance with security best practices, regulatory requirements, and internal policies. The position combines hands-on security engineering with practical knowledge of generative AI, machine learning platforms, cloud services, identity, data protection, secure software development, security frameworks, and risk assessment methodologies.

Requirements

Bachelor's degree in computer science, cybersecurity, engineering, data science, or a related field, or equivalent professional experience in lieu of a degree.
Working knowledge of privacy engineering, data governance, third-party risk management, and regulatory requirements affecting AI systems.
Relevant certifications in cloud security, application security, cybersecurity, privacy, or machine learning, or equivalent professional experience in lieu of a certificate.

Nice To Haves

Experience in security engineering, application security, cloud security, product security, data security, or a related discipline.
Experience securing enterprise systems such as email and communications, developer tools, customer relationship management, and back-office functions.
Strong problem-solving abilities.
Experience working with remote, globally distributed teams.
Working knowledge of generative AI and machine learning concepts, including large language models, prompts, embeddings, retrieval-augmented generation, agents, model training, and inference.
Ability to evaluate threats and implement controls across the AI lifecycle, from use-case intake and design through deployment, monitoring, change management, and retirement.
Familiarity with AI security guidance and frameworks such as the NIST AI Risk Management Framework, OWASP guidance for large language model applications, MITRE ATLAS, and secure development practices.
Demonstrated ability to work across Security, IT, Engineering, Data Science, Privacy, Legal, GRC, and business teams.

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 including 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 NETSCOUT's internal SecAIOps tool.
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.
Collaborate with globally distributed teams and communicate AI security risks, remediation priorities, and design decisions to technical and nontechnical stakeholders.
Conduct security assessments, gap analyses, and risk evaluations for new and existing SaaS applications.
Automate processes to streamline work and improve efficiency as the company grows.