Principal AI Security Engineer
Cerebras · Sunnyvale, CA
About this role
## Principal AI Security Engineer ### About the Role Cerebras Systems is seeking a **Principal AI Security Engineer** to lead hands-on security engineering for **enterprise IT, infrastructure, AI platforms, and agentic systems**. You will design and build security controls for systems supporting **training, inference, model serving, customer workloads, internal automation, and AI-assisted development**. This is a **principal IC** role focused on turning ambiguous AI and platform security risks into **practical architectures, reusable controls, and production-ready systems** teams can adopt by default. ### Responsibilities - Define security architecture and build controls for **AI platforms**, **training/inference workflows**, **model-serving systems**, **customer workloads**, **developer workflows**, and **agentic systems** - Develop reusable **AI and agent security patterns** for: - Identity, authorization, delegated authority - Scoped tool access, MCPs, connectors - Secrets, approvals, isolation, auditability - Design **runtime controls** to constrain execution, access, data exposure, model/tool interaction, and blast radius - Build security capabilities as code using **IaC, 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 - Instrument AI/agent/platform activity with **telemetry, traceability, policy decisions, audit logs, anomaly signals, and response workflows** - Lead hands-on security reviews and influence product/platform/infrastructure/security architecture through practical design changes and reusable controls ### Skills & Qualifications - **10+ years** of experience in security engineering, platform security, infrastructure security, product security, or related technical security roles - Strong hands-on engineering ability in **Python** and at least one additional production language - Experience designing/building/operating/improving security controls - Strong cloud & infrastructure security experience, preferably **AWS** (IAM, networking, secrets management, logging, cloud-native control planes) - Deep understanding of identity and access systems (SSO, MFA, OAuth, service accounts, workload identity, authorization, privileged access, least privilege) - Practical experience securing runtime environments (containers, Kubernetes, isolated workloads, secure dev environments, distributed compute platforms, or production service infrastructure) - Familiarity with AI security / LLM app security / agentic workflows / MCPs / prompt injection / autonomous coding agents / AI platform security - Ability to reason about cross-system risk across identity, data, models, tools, networks, workflows, approvals, and automation - Strong written communication skills and ability to influence senior technical stakeholders across Security, Product, IT, Infrastructure, and Engineering ### Relevant Experience (Valued Depth) We don’t expect every candidate to have all of these, but we value depth in several areas: - AI/ML, training, inference, model-serving, or large-scale compute - Coding agents, agent platforms, MCP servers, internal developer platforms, or AI-assisted development environments - Workload identity, secrets brokers, token brokers, short-lived credentials, priv
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