Principal AI Security Engineer

Location: US and Canada offices

Company

hirify.global builds specialized AI hardware and platforms designed to accelerate model training and inference beyond conventional GPU-based systems.

What you will do

• Define security architecture and build controls for AI platforms, training and inference workflows, model serving, customer workloads, developer workflows, and agentic systems.
• Develop reusable security patterns for identity, authorization, delegated authority, scoped tool access, MCPs, connectors, secrets, approvals, isolation, and auditability.
• Design runtime controls that limit execution, access, data exposure, model and tool interaction, and blast radius.
• Build security capabilities using infrastructure as code, configuration as code, policy as code, GitOps, CI/CD, and automated validation.
• Automate security reviews, policy checks, evidence collection, control validation, remediation, and telemetry for AI, agent, and platform activity.
• Lead hands-on security reviews and influence Product, Platform, Infrastructure, Security, IT, and Engineering architecture through practical design changes.

Requirements

• 10+ years of experience in security engineering, platform security, infrastructure security, product security, or related technical security roles.
• Strong hands-on engineering skills in Python and at least one additional production programming language.
• Experience designing, building, operating, and improving security controls.
• Strong cloud and infrastructure security experience, preferably with AWS, including IAM, networking, secrets management, logging, and cloud-native control planes.
• Deep understanding of SSO, MFA, OAuth, service accounts, workload identity, authorization, privileged access, and least privilege.
• Experience securing containers, Kubernetes, isolated workloads, secure development environments, distributed compute platforms, or production service infrastructure, plus familiarity with AI security, LLM application security, agentic workflows, MCPs, or prompt injection.

Nice to have

• Experience with AI or ML training, inference, model serving, or large-scale compute.
• Experience with coding agents, agent platforms, MCP servers, internal developer platforms, or AI-assisted development environments.
• Knowledge of workload identity, secrets brokers, token brokers, short-lived credentials, privileged access, or zero-standing-privilege architectures.
• Experience with policy-as-code, authorization services, runtime enforcement layers, software delivery security, or release gates.
• Experience building detection, investigation, and response workflows for cloud, infrastructure, identity, AI, or agent systems.

Culture & Benefits

• Work on a specialized AI platform designed to go beyond conventional GPU constraints.
• Opportunities to publish and open-source AI research.
• Work with one of the fastest AI supercomputers in the world.
• Startup vitality combined with job stability.
• Non-corporate culture focused on individual beliefs, learning, growth, and inclusion.