We are building a security-first AI platform from the ground up, designed to run large language models, multi-agent systems, and advanced AI workloads in zero-trust environments. Security is core to our DNA. We’re looking for an AI Security Architect to define and lead our security-by-design strategy across infrastructure, runtime, and application layers.
Requirements
- Establish secure foundations for a Kubernetes-based AI platform together with the platform architecture team.
- Design and maintain the cloud native security reference architecture, including: Pod security standards, IAM, RBAC, and multi-tenancy setup, Network isolation, zero-trust communication, and secret management, Secure software supply chain (SBOMs, signing, provenance, verification), Define and enforce security controls for container workloads, operators, and extensions, Collaborate with platform engineers on secure CI/CD pipelines and infrastructure-as-code policies.
- Define and guide the company’s threat-modeling and security design-review framework, partnering with engineers to identify and mitigate risks early in design.
- Partner with the GRC team to align design with NIS2, CRA, ISO 27001, and AI Act requirements.
- Drive integration of Confidential Computing, FHE, and ZKP-based data protection features.
- Contribute to internal security culture, training, and design-review practices.
Benefits
- Flexible schedule
- Hybrid work environment
- Competitive compensation package
- Remuneration that values your experience
- Join an innovative team and experience company growth
- We believe in investing in our employees and providing them with the opportunities they need to grow and develop their careers