Principal AI Security Engineer

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🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

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Cerebras Systems

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

🤖 Artificial Intelligence

🔧 Hardware

⚕️ Healthcare Insurance

Artificial Intelligence • Hardware • Healthcare Insurance

Cerebras Systems is a pioneering company that focuses on developing advanced AI hardware, specifically the Cerebras Wafer Scale Engine, which delivers unparalleled performance in AI inference, outperforming traditional GPU setups. Their cutting-edge technology enables organizations like Mayo Clinic and AlphaSense to run state-of-the-art AI models with remarkable speed and efficiency. With flexible deployment options including cloud and on-premises solutions, Cerebras is transforming the landscape of AI capabilities for innovative teams across various industries.

📋 Description

• 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 • 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.

🎯 Requirements

• 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 • Experience designing, building, operating, and improving security controls as • Strong cloud and infrastructure security experience, preferably with AWS, including IAM, networking, secrets management, logging, and cloud-native control planes. • Deep understanding of identity and access systems, including SSO, MFA, OAuth, service accounts, workload identity, authorization, privileged access, and least privilege. • Practical experience securing runtime environments such as containers, Kubernetes, isolated workloads, secure development environments, distributed compute platforms, or production service infrastructure. • Familiarity with AI security, LLM application security, agentic workflows, MCPs, prompt injection, autonomous coding agents, or AI platform security. • Ability to reason about cross-system risk involving identity, data, models, tools, networks, workflows, approvals, and automation. • Strong written communication skills and the ability to influence senior technical stakeholders across Security, Product, IT, Infrastructure, and Engineering.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities