AI Security Architect
Role details
Job location
Tech stack
Job description
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.
You'll shape our platform's trust model, design isolation boundaries, and ensure that confidential computing, zero-trust principles, and privacy-preserving technologies (FHE, ZKP, etc.) are embedded into the product from day one., * 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.
Requirements
- Solid experience in security architecture, infrastructure security, or platform engineering roles.
- Deep knowledge of Kubernetes internals (control plane, admission controllers, namespaces, operators).
- Expertise in cloud-native security and technological solution landscape.
- Strong understanding of IAM, RBAC, and network segmentation.
- Experience with secure SDLC, software supply-chain security, and security reviews.
- Familiarity with Confidential Compute, FHE, or ZKP concepts and technologies is considered a plus.
- Knowledge of the security landscape around generative AI and agentic applications, especially their specific vulnerabilities and corresponding mitigating measures is considered a plus.
Soft Skills
· Excellent communication and interpersonal skills, able to collaborate effectively across internal teams.
· A "can do attitude", willing to solve and overcome obstacles.
· Proactive problem-solver with a drive for automation and operational excellence.
· Curious, open-minded, and eager to continuously improve.
Benefits & conditions
· We believe in investing in our employees and providing them with the opportunities they need to grow and develop their careers.
· Enjoy a hybrid work environment.
· We also offer a flexible schedule.
· We offer a remuneration that values your experience.
· The position will have the base in Ghent, Belgium.
We are looking for outstanding people willing to join our mission to change this industry and help to build a better world.
If you feel identified with Openchip, please contact us. We can offer a competitive compensation package in a flexible work schema that will help you to keep a balance between your personal and professional life.