AI Infrastructure Security Engineer
About The Position
The Opportunity We are building a high-performance AI Red Team to rigorously stress-test and harden enterprise-scale AI systems. While model security is critical, AI risk often lives in the surrounding infrastructure — data pipelines, APIs, cloud configurations, access controls, and deployment architecture. We are seeking an AI Infrastructure Security Engineer who can assess, challenge, and strengthen the full AI system stack. This role ensures our AI products meet the expectations of enterprise and regulated customers. What You’ll Do Review and assess AI deployment architectures across cloud environments Conduct infrastructure-level security testing for: API exposure Authentication & authorization controls Secrets and key management Data encryption in transit and at rest Logging and monitoring configurations Evaluate RAG pipelines, vector databases, and embedding workflows Identify vulnerabilities across: Model hosting environments Containerized deployments CI/CD pipelines Third-party integrations Partner with engineering and security teams to validate remediations Align findings to enterprise security frameworks where applicable Produce structured documentation suitable for internal security and compliance teams You will ensure AI systems are secure not just in theory, but in practice. Requirements What We’re Looking For Core Technical Experience Strong background in cloud security (AWS, Azure, or GCP) Experience securing API-based systems Knowledge of container security (Docker, Kubernetes) Familiarity with identity and access management models Experience with encryption standards and key management Strong understanding of DevSecOps principles AI Systems Familiarity Exposure to AI/ML deployment environments Familiarity with: LLM API architectures RAG systems Vector databases Model hosting infrastructure Understanding of data governance within AI workflows Enterprise Environment Experience Experience working within ISO 27001 or SOC 2 environments Understanding of cloud security control frameworks (ISO 27017 helpful) Ability to communicate findings clearly to both engineering and governance teams Who You Are Systems-oriented thinker Detail-driven but pragmatic Comfortable challenging architectural decisions Independent and fast-moving Comfortable operating close to executive leadership Enterprise-aware and security-minded You understand that AI security is only as strong as its weakest infrastructure layer. Benefits Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package
Requirements
- Strong background in cloud security (AWS, Azure, or GCP)
- Experience securing API-based systems
- Knowledge of container security (Docker, Kubernetes)
- Familiarity with identity and access management models
- Experience with encryption standards and key management
- Strong understanding of DevSecOps principles
- Exposure to AI/ML deployment environments
- Familiarity with: LLM API architectures RAG systems Vector databases Model hosting infrastructure
- Understanding of data governance within AI workflows
- Experience working within ISO 27001 or SOC 2 environments
- Understanding of cloud security control frameworks (ISO 27017 helpful)
- Ability to communicate findings clearly to both engineering and governance teams
- Systems-oriented thinker
- Detail-driven but pragmatic
- Comfortable challenging architectural decisions
- Independent and fast-moving
- Comfortable operating close to executive leadership
- Enterprise-aware and security-minded
Responsibilities
- Review and assess AI deployment architectures across cloud environments
- Conduct infrastructure-level security testing for: API exposure Authentication & authorization controls Secrets and key management Data encryption in transit and at rest Logging and monitoring configurations
- Evaluate RAG pipelines, vector databases, and embedding workflows
- Identify vulnerabilities across: Model hosting environments Containerized deployments CI/CD pipelines Third-party integrations
- Partner with engineering and security teams to validate remediations
- Align findings to enterprise security frameworks where applicable
- Produce structured documentation suitable for internal security and compliance teams
Benefits
- Comprehensive Private Medical Coverage
- Support for Mental Health Expenses
- Life Insurance Options
- Attractive Compensation Package
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
