Staff Security Engineer - AI
AI summary of the role
LinkedIn seeks a Staff Security Engineer to strengthen the security posture of its AI applications, infrastructure, and development workflows.
What you’ll do
- 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
- Lead threat modeling and adversarial red-teaming of AI systems, and maintain a LinkedIn AI threat taxonomy mapped to industry standards
What you’ll bring
- BA/BS Degree in Computer Science, Cybersecurity, Information Security, or related technical field, or equivalent technical experience
- 5+ years experience in security engineering and in-depth knowledge of application security, authentication and security protocols, cryptography, or supply chain security
- Hands-on experience or working knowledge of AI/ML or LLM-application security risks (e.g., prompt injection, data poisoning, model/provenance integrity)
- Experience with programming languages such as Java, GoLang or Python
Technologies
AI/ML · LLM · Java · GoLang · Python · LangChain · LangGraph · CrewAI · AutoGen · MLOps
About LinkedIn
Professional network and labor-market platform monetizing hiring, B2B ads, sales intelligence, premium subscriptions, and learning on a 1.3B-member graph.
Acquired · 5000+ people
Source and classification
Deployment team leadership · Evidence for this classification:
vulnerabilities, and providing security consultation to minimize potential risks. We invest significantly in automation and focus on high impact engineering projects that detect security risks. About the role: As a Staff Security Engineer on the Platform & Product Security team, you will strengthen the security posture of LinkedIn's AI applications, infrastructure, and development workflows — researching emerging threats, leading threat models, designing and implementing secure-by-default frameworks, and building scalable tooling to detect and mitigate vulnerabilities across the company. 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, toolHow jobs are selected
Employer postings · Data from · Sources