AI Security Engineer
Core
Securing Machine Learning, Generative AI, and Agentic AI solutions deployed across enterprise and engineering environments by identifying, assessing, and mitigating security risks.
Role type
Senior IC AI Security Engineer
Builds
Secure enterprise AI adoption and AI-enabled engineering workflows
Domain
Semiconductor industry + AI/ML security
Deliverable
production ML models
Required skills
AI/ML/GenAI concepts (LLMs, RAG, embeddings, vector databases, AI agents), AI-related attack vectors (prompt injection, insecure tool usage, model abuse, data leakage, retrieval poisoning), OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, container security, API security, IAM, secrets management, cloud-native security, secure software development lifecycle (SSDLC)
Preferred skills
Advanced degrees in CS/Cybersecurity, AI/ML-related and cybersecurity certifications
Technologies
AWS, Azure, MCP servers, vector databases, AI coding assistants
Responsibilities
Conduct security assessments for AI/ML/GenAI use cases and platforms, Support implementation of AI runtime security controls and policy enforcement mechanisms, Collaborate with engineering teams to integrate secure development practices into AI workflows, Support secure deployment and configuration of AI applications across cloud and enterprise environments, Support implementation of controls aligned with industry frameworks (NIST AI RMF, OWASP Top 10 for LLM Applications)
Seniority
Senior, hands-on IC