Senior Cloud Security Architect (AI)

TL;DR

Senior Cloud Security Architect (AI): Defining and leading security architecture across multi-cloud platforms (AWS, Azure, GCP) and AI/Generative AI workloads with an accent on designing secure cloud and AI architectures, establishing governance, and implementing guardrails. Focus on securing multi-cloud environments, integrating security into CI/CD and MLOps pipelines, and ensuring compliance with emerging AI regulations.

Location: Onsite in San Jose, California

Salary: $185,500–$344,500 annually

Company

hirify.global is a technology company focused on hiring and developing leaders and innovators to make an impact on the world of technology.

What you will do

• Design and maintain secure, scalable, and resilient security architectures across AWS, Azure, and GCP.
• Define cloud and AI security reference architectures, patterns, and standards for IaaS, PaaS, containers, serverless, and AI platforms.
• Lead security architecture reviews for cloud and AI initiatives, ensuring consistency, defense-in-depth, and least-privilege design.
• Architect IAM strategies for cloud and AI services (human, workload, and service identities).
• Define data protection and key management strategies for cloud and AI workloads, including encryption, KMS/HSM, and secrets management.
• Embed security into CI/CD and MLOps pipelines for cloud and AI workloads and promote infrastructure-as-code and policy-as-code.

Requirements

• 8+ years of experience in cloud security architecture, security engineering, or related roles.
• Demonstrated experience securing multi-cloud environments (AWS, Azure, GCP).
• Hands-on experience designing security controls for AI/ML or GenAI workloads in production.
• Required Certifications: CISSP, CCSP, and cloud security certifications (e.g., AWS Certified Security – Specialty, Microsoft Certified: Azure Security Engineer, Google Professional Cloud Security Engineer).
• Deep expertise in Cloud IAM, networking, logging, and security services; encryption, PKI, KMS/HSM, and secrets management; Kubernetes and container security.
• Strong understanding of AI/ML pipelines, GenAI architectures, AI-specific threat models, and DevSecOps/secure MLOps practices.

Nice to have

• Experience securing regulated or high-risk environments (financial services, healthcare, government).
• Familiarity with Zero Trust and privacy-enhancing technologies.
• Knowledge of AI governance frameworks (NIST AI RMF, ISO/IEC 23894, EU AI Act).

Culture & Benefits

• Competitive incentive compensation, including bonus and equity.
• Paid vacation and paid holidays.
• 401(k) plan with employer match.
• Employee stock purchase plan.
• A variety of medical, dental, and vision plan options.