The opportunity
Cerebras is seeking a Principal AI Security Engineer to lead hands-on security engineering for enterprise IT, infrastructure, AI platforms, and agentic systems.
What you'll do
Define security architecture and build controls for AI platforms, training: and inference workflows, model-serving systems, customer workloads, developer workflows, and agentic
Develop reusable AI and agent security patterns for identity, authorization,: delegated authority, scoped tool access, MCPs, connectors, secrets, approvals, isolation, auditability, and
Design runtime controls that constrain execution, access, data exposure,: model and tool interaction, and blast radius.
Build security capabilities as code using infrastructure as code,: configuration as code, policy as code, GitOps, CI/CD, and automated validation.
Define secure development patterns for AI systems, agents, prompts, tools,: models, policies, evaluations, releases, and rollback.
Automate security reviews, policy checks, evidence collection, control validation, and remediation
What they're looking for
- Instrument AI, agent, and platform activity with telemetry, traceability,: policy decisions, audit logs, anomaly signals, and response workflows.
- Lead hands-on security reviews and influence product, platform,: infrastructure, and security architecture through practical design changes and reusable controls.
