Staff AI Security Engineer: Build Secure AI Platforms

LinkedIn; Sunnyvale (CA); Hybrid; USD 152,000 - 248,000; Full time

Job summary

LinkedIn’s Platform & Product Security team seeks a Staff Security Engineer to tighten security across AI applications, infrastructure, and development workflows. You will research threats, lead models, and design secure-by-default frameworks while building scalable tooling to mitigate vulnerabilities at scale.

You will work with platform and ML teams to enforce secure AI tooling, guardrails, and policies across the lifecycle from data ingestion to inference, ensuring privacy, integrity, and

Qualifications

• BA/BS Degree in Computer Science, Cybersecurity, Information Security, or related field, or equivalent.
• Hands-on experience with AI/ML or LLM security risks (prompt injection, data poisoning, provenance integrity).
• 5+ years in security engineering with deep knowledge of application security, authentication, cryptography, or supply chain security.
• 5+ years in threat modeling, design reviews, penetration testing, and vulnerability assessment.
• Experience with programming languages such as Java, GoLang or Python.
• Experience architecting or implementing tooling that detects and mitigates security vulnerabilities.

Responsibilities

• Lead and execute adoption of security controls across AI/ML infrastructure, including model scanning, model signing and provenance, and ML pipeline security (MLOps/MLSecOps)
• Architect and build security guardrails and paved roads for agentic workflows: hardening agent SDKs, tool access and permissioning, input/output validation, execution boundaries, sandboxing, and auditability of agent actions
• Build automation and red-team/detection tooling that continuously identifies, reproduces, and mitigates AI-specific vulnerabilities at scale; partner with Detection & Response on prompt/tool-call telemetry and AI-incident playbooks.
• Lead threat modeling and adversarial red-teaming of AI systems, and maintain a LinkedIn AI threat taxonomy mapped to industry standards. Partner with security and platform teams to embed the resulting threat models and risk assessments into AI platforms, developer tooling, and production services.
• Define AI security standards, reference architectures, and policies across model development, data ingestion, training, inference, and agentic systems; drive secure adoption of AI tooling (vendors, copilots, integrations), including data-sharing and sensitive-data-in-prompt boundaries.
• Drive cross-functional architecture and engineering decisions across platform engineering, security engineering, ML/AI teams, and product/DevEx to build developer platforms, AI systems, and infrastructure that are scalable, reliable, and secure by design.

Skills

AI Security

Security Assessment Methodologies

Security Architecture

Technical Leadership

Education

BA/BS Degree in Computer Science, Cybersecurity, Information Security, or related field

Job description

LinkedIn’s Platform & Product Security team seeks a Staff Security Engineer to tighten security across AI applications, infrastructure, and development workflows. You will research threats, lead models, and design secure-by-default frameworks while building scalable tooling to mitigate vulnerabilities at scale.

You will work with platform and ML teams to enforce secure AI tooling, guardrails, and policies across the lifecycle from data ingestion to inference, ensuring privacy, integrity, and