# Principal AI Security Engineer

**Company:** [Cerebras Systems](https://hotfix.jobs/companies/cerebras-systems)
**Location:** Unspecified
**Role:** Security Engineering
**Experience:** 10+ years
**Skills:** Python, AWS, IAM, Kubernetes, OAuth, mcps, policy as code, CI/CD, GitOps, Infrastructure As Code, secrets management, workload identity, Containers, prompt injection, Cloud Security
**Posted:** 2026-06-23

> Leads hands-on security engineering for AI platforms, enterprise infrastructure, model-serving systems, customer workloads, and agentic automation. The role requires 10+ years of technical security experience, strong programming and cloud security skills, and expertise in identity, runtime protection, authorization, and AI security.

## Job Description

## Responsibilities
- Define security architecture and build controls for AI platforms, training and 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, and governance.
- 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 programming language.
- Experience designing, building, operating, and improving security controls as production systems.
- 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 ability to influence senior technical stakeholders across Security, Product, IT, Infrastructure, and Engineering.

## Relevant Experience
- 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, privileged access, or zero-standing-privilege architectures.
- Policy as code, authorization services, runtime enforcement layers, or security control platforms.
- Software delivery security, including source control, CI/CD, build systems, artifacts, provenance, signing, and release gates.
- Detection, investigation, and response workflows for cloud, infrastructure, identity, AI, or agents.

## Compensation and Benefits
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Work in a simple, non-corporate culture that respects individual beliefs.
- Continuous learning, growth, and support.

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**Apply:** https://hotfix.jobs/jobs/82eef0e7-49d8-4217-8fdb-04513f950fae
**Canonical:** https://hotfix.jobs/jobs/82eef0e7-49d8-4217-8fdb-04513f950fae