Senior AI Security and Governance Engineer

VIAVI Solutions

Senior AI Security & Governance Engineer leading AI security strategies at VIAVI Solutions. Collaborating across departments to establish compliance and governance for AI technologies.

Posted 7/9/2026full-timeChandler • Arizona • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaScriptPythonSDLCTypeScript

About the role

Key responsibilities & impact

Lead AI-specific threat modeling across the full AI lifecycle covering prompt injection, data leakage, model poisoning, adversarial attacks, tool abuse, privilege escalation, and agentic supply-chain risks.
Define and enforce secure AI architecture patterns and prohibited design anti-patterns for LLM-powered applications, autonomous agents, and multi-agent workflows.
Partner with product and platform engineering teams to embed security controls natively into AI development pipelines (S-SDLC / Secure AI Development Lifecycle), including secure CI/CD gates, pre-production reviews, and post-deployment monitoring.
Design and operationalize runtime protections for AI systems including prompt injection detection, jailbreak protection, output content controls, and abuse detection for high-throughput environments.
Define Human-on-the-Loop (HOTL) review checkpoints for autonomous agentic workflows where high-risk decisions require human oversight before execution.
Establish AI-specific data classification policies and enforce data boundary controls, retention limits, and usage constraints for data ingested by or generated by AI systems.

Requirements

What you’ll need

Minimum of a Bachelor’s (Preferred Master’s); preferably Computer Science/Computer Engineering or a related field
8–12+ years in security architecture, application security, cloud security, or a closely related field.
3+ years of hands-on experience securing AI/ML or LLM-based systems in enterprise environments, including practical knowledge of prompt injection, data exfiltration through AI APIs, and agentic risk.
Demonstrated experience defining and implementing AI governance frameworks (OWASP Top 10 for LLM, NIST AI RMF, ISO/IEC 42001, EU AI Act, or equivalent).
Strong background in threat modeling, secure design review, and risk management across complex distributed systems.
Hands-on experience with data loss prevention (DLP), CASB, SWG, or equivalent technologies applied to AI and SaaS environments.
Experience designing and enforcing granular access control frameworks (RBAC, ABAC) for AI agents, tools, and data pipelines.
Strong written and verbal communication skills including executive-level reporting and the ability to translate complex AI risk into business language.
Ability to read and review code (Python, JavaScript/TypeScript, or similar) to understand AI workflows, APIs, and failure modes.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Prompt Injection DetectionData Leakage PreventionModel Poisoning MitigationAdversarial Attack DefenseSecure CI/CD ImplementationCode Review (Python, JavaScript/TypeScript)Risk ManagementSecure Design ReviewData Classification PoliciesHuman-on-the-Loop (HOTL) Review

Soft Skills

Strong Written CommunicationVerbal CommunicationExecutive-Level ReportingComplex Problem Solving

Certifications

Bachelor’s DegreeMaster’s Degree (Preferred)NIST AI RMFISO/IEC 42001EU AI Act