Lead Senior Security Engineer (Enterprise AI Platform)

TL;DR

Lead Senior Security Engineer (Enterprise AI Platform): Own and scale security architecture and engineering practices for an enterprise AI platform, with an accent on secure customer deployment patterns and embedding security across CI/CD, cloud infrastructure, data protection, and AI workflows. Focus on designing tenant isolation, IAM/SSO controls, auditability, and governance for GenAI capabilities while leading enterprise security discussions and compliance readiness.

Location: Palo Alto, CA

Company

hirify.global builds an enterprise AI platform that automates regulated CFO functions with enterprise-grade security, privacy, and governance.

What you will do

• Lead security architecture and implementation across application security, cloud infrastructure, data protection, IAM, tenant isolation, auditability, and secure enterprise integrations.
• Design secure deployment models for Fortune 1000 customers, including SSO, RBAC, API integrations, private networking, encryption, key management, and enterprise monitoring/auditability.
• Embed security into engineering and operations by integrating controls into CI/CD, infrastructure-as-code, container deployments, secrets management, vulnerability management, monitoring, incident response, and production operations.
• Secure AI platform capabilities by implementing controls for prompt/data isolation, retrieval security, model access controls, secure tool use, adversarial testing, output governance, and audit trails.
• Serve as the senior security counterpart for enterprise customers and compliance, leading security reviews, vendor risk discussions, and support for SOC 2, ISO 27001, SSPA, audits, and control evidence.

Requirements

• 8+ years of experience in security architecture and engineering, including application security, cloud/platform security, or security architecture for complex, data-intensive systems.
• Proven ability to design and implement enterprise-grade security architecture for SaaS/cloud-native platforms and large enterprise deployments.
• Deep hands-on cloud and infrastructure security expertise, preferably Azure (IAM, networking/private endpoints, containers, key management, encryption, logging/monitoring, workload identity, infrastructure security).
• Strong identity, access control, and application security background (SSO/SAML/OIDC, RBAC, least-privilege, secure SDLC, threat modeling, API security, secrets management, vulnerability management, secure coding).
• Experience working directly with enterprise customers and cross-functional engineering teams, including leading security reviews and deployment security planning.

Culture & Benefits

• Hybrid working model.
• Competitive compensation tailored to experience and skills.
• Opportunities for professional development and leadership growth.
• Work on transformative technologies in the AI space.