AI Security Engineer

Location: Santa Clara, California, United States. Applicants must be eligible to access technology and software covered by U.S. export control laws; export license review may be required before employment.

Expected base pay: USD 131,540–197,000 per annum, plus eligibility for bonus and equity plans.

Company

Semiconductor solutions provider building data infrastructure technologies for enterprise, cloud, AI, and carrier architectures.

What you will do

• Administer and operate the AI security platform, implementing preventive and detection policies for AI usage, data protection, and risk visibility.
• Assess AI assets across SaaS, cloud, end-user devices, and infrastructure for misconfigurations, excessive permissions, and policy gaps.
• Deploy runtime protection against prompt injection, data leakage, jailbreaks, and malicious content.
• Partner with IAM, IT, AppSec, GRC, Security Architecture, Endpoint, and SecOps teams to secure human and agent identities, AI workloads, and model deployments.
• Use AI observability telemetry to identify anomalous behavior and policy violations and drive remediation.
• Develop AI security standards, report posture trends, and communicate risk reduction progress to security leadership and business stakeholders.

Requirements

• 5–8 years of cybersecurity engineering experience with hands-on deployment and operation of enterprise security platforms.
• Experience with AI and ML risk domains, including data exposure, shadow AI, prompt injection, supply chain risk, and model integrity.
• Hands-on experience with AI security platforms such as Palo Alto Prisma AIRS, Cisco AI Defense, Protect AI, Lakera, or Wiz AI Security.
• Experience securing AI workloads across GCP, AWS, Azure, and SaaS environments; familiarity with EDR, SIEM, DLP, SOAR, and NGFW platforms.
• Knowledge of LLM gateways, MCP frameworks, RAG architecture, agentic workflows, RBAC, SSO, token management, and agent identity.
• Strong communication skills and the ability to influence remediation across technical, executive, audit, IT, and business audiences.

Nice to have

• Familiarity with NIST AI RMF, MITRE ATLAS, or OWASP LLM Top 10.
• Experience in semiconductor, hardware, or high-IP technology environments.
• Background in detection engineering, security architecture, security operations, AI red teaming, or adversarial machine learning.
• Knowledge of policy as code and AI data governance tooling.
• Bachelor’s degree in a relevant field; a master’s degree and certifications such as CISSP, CCSP, CAISP, cloud security certifications, or GAIC are preferred.

Culture & Benefits

• Bonus and equity plans, including a new-hire equity grant and annual equity refreshers.
• Employee stock purchase plan with a two-year lookback.
• Benefits supporting financial well-being, family support, mental and physical health, and recognition.
• Family support programs, mental health resources, and service and recognition awards.
• Interview candidates may not use AI tools, transcription apps, automated note-taking bots, or real-time answer generators during interviews.