Lead Senior Security Engineer (AI)

Location: Palo Alto, CA, United States; hybrid working model

Company

hirify.global is building an AI platform for finance, tax, audit, risk, compliance, and operational efficiency workflows used by Fortune 1000 companies and professional services firms.

What you will do

• Own the security architecture and implementation for the AI platform across application security, cloud infrastructure, data protection, identity and access management, tenant isolation, auditability, and enterprise integrations.
• Design secure deployment models for cloud-hosted and customer-controlled environments, including SSO, RBAC, API integrations, encryption, key management, private networking, monitoring, and auditability.
• Embed security into CI/CD, infrastructure as code, container deployments, secrets management, vulnerability management, monitoring, incident response, and production operations.
• Secure GenAI workflows through prompt and data isolation, retrieval security, model access controls, secure tool use, adversarial testing, output governance, and audit trails.
• Lead technical security discussions with enterprise customers, support procurement and vendor risk reviews, and translate customer requirements into platform capabilities.
• Partner with compliance teams on SOC 2, ISO 27001, SSPA, customer audits, control evidence, and security documentation.

Requirements

• 8+ years of experience in security architecture and engineering, including application, cloud, platform, enterprise SaaS, or security architecture for complex data-intensive systems.
• Proven ability to design and implement enterprise-grade security architecture for SaaS platforms, cloud-native systems, customer-facing products, or large enterprise deployments.
• Hands-on cloud and infrastructure security expertise, preferably with Azure, including IAM, networking, private endpoints, containers, key management, encryption, logging, monitoring, workload identity, and infrastructure security.
• Experience with SSO, SAML, OIDC, RBAC, service identities, least-privilege access, secure SDLC, threat modeling, API security, secrets management, vulnerability management, and secure coding.
• Ability to lead customer security reviews, procurement assessments, vendor risk discussions, and deployment security planning.
• Experience collaborating with Cloud, DevOps, GenAI, platform, and Forward Deployed Engineering teams.

Culture & Benefits

• Hybrid working model.
• Competitive compensation tailored to experience and skills.
• Professional development and leadership opportunities.
• Work on transformative AI technologies for regulated enterprise workflows.
• Medical, dental, and vision insurance for employees.
• Free lunch in the office every day.