Security Architect (Superhive)
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Key skills for this role
About the Role
AI71 is seeking a highly experienced Security Architect to define and lead the security architecture of its AI and data platform. The role involves designing secure-by-design systems across AI workloads, data pipelines, and cloud-native infrastructure, ensuring confidentiality, integrity, and availability at scale.
Key Skills for This Role
Responsibilities
- Define and evolve the end to end security architecture for AI systems, data platforms, and cloud native infrastructure
- Establish and enforce Zero Trust principles, including identity first security, mTLS, and fine grained access control (RBAC/ABAC)
- Design secure patterns for distributed systems, event driven architectures, and multi tenant environments
- Define security standards for Kubernetes based platforms, including workload isolation, network policies, and runtime protection
- Establish container and software supply chain security practices (e.g., image scanning, SBOM, signing, and provenance)
- Design secure deployment architectures for both cloud and restricted/air gapped environments
- Define and implement security controls for LLM based applications, RAG pipelines, and data platforms
- Establish safeguards against AI specific threats such as data poisoning, model extraction, and data leakage
- Embed security into GitOps and CI/CD workflows, including policy as code and automated enforcement
- Define and maintain secure SDLC practices aligned with ISO 27001 and internal governance frameworks
- Lead threat modeling, architecture reviews, and security validations
- Define requirements for security observability, including audit logging and anomaly detection
Requirements
- Bachelor's or Master's degree in Computer Science, Cybersecurity, or related field
- 7+ years of experience in security engineering, architecture, or related roles
- Experience designing security for distributed systems and cloud native platforms
- Strong understanding of Zero Trust, IAM, cryptography, and secure communication
- Experience with DevSecOps practices and secure CI/CD pipelines
- Experience securing AI/ML systems or data platforms
- Familiarity with streaming technologies (e.g., Kafka, NATS)
- Experience in regulated or high security environments
- Certifications such as CISSP or CSSLP
- Proficiency in Python or Bash for automation
Full Job Posting
About Us
- AI71 is an applied research team dedicated to creating helpful and responsible AI agents for knowledge workers.
- We are seeking a highly experienced and strategic Security Architect to define and lead the security architecture of our AI and data platform.
Key Responsibilities
- Define and evolve the end to end security architecture for AI systems, data platforms, and cloud native infrastructure.
- Establish and enforce Zero Trust principles, including identity first security, mTLS, and fine grained access control (RBAC/ABAC).
- Design secure patterns for distributed systems, event driven architectures, and multi tenant environments.
- Define security standards for Kubernetes based platforms, including workload isolation, network policies, and runtime protection.
- Establish container and software supply chain security practices (e.g., image scanning, SBOM, signing, and provenance).
- Design secure deployment architectures for both cloud and restricted/air gapped environments.
- Define and implement security controls for LLM based applications, RAG pipelines, and data platforms.
- Establish safeguards against AI specific threats such as data poisoning, model extraction, and data leakage.
- Embed security into GitOps and CI/CD workflows, including policy as code and automated enforcement.
- Define and maintain secure SDLC practices aligned with ISO 27001 and internal governance frameworks.
- Lead threat modeling, architecture reviews, and security validations.
- Define requirements for security observability, including audit logging and anomaly detection.
Qualifications
- Bachelor's or Master's degree in Computer Science, Cybersecurity, or a related field.
- 7+ years of experience in security engineering, architecture, or related roles.
- Experience designing security for distributed systems and cloud native platforms.
- Strong understanding of Zero Trust, IAM, cryptography, and secure communication.
- Experience with DevSecOps practices and secure CI/CD pipelines.
- Experience securing AI/ML systems or data platforms (preferred).
- Familiarity with streaming technologies (e.g., Kafka, NATS) (preferred).
- Experience in regulated or high security environments (preferred).
- Certifications such as CISSP or CSSLP (preferred).
- Proficiency in Python or Bash for automation (preferred).
Why Join Us?
- Work on cutting edge AI technologies with a focus on security and ethics.
- Shape the security architecture of a next generation AI platform.
- Collaborate with a diverse and talented team.
- Competitive salary, equity options, and benefits.
- Opportunities for growth and leadership.
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