Lead Senior Security Engineer (Enterprise AI Platform)
HybridPalo Alto, California, United States
Job Summary
Lead platform security architecture and implementation for Evolver’s AI platform across application security, cloud infrastructure, data protection, identity and access management, tenant isolation, auditability, and secure enterprise integrations. Design secure deployment patterns for Fortune 1000 customers hosted on cloud and/or customer-controlled environments; embed security into CI/CD, infrastructure-as-code, container deployments, secrets management, vulnerability management, monitoring, incident response, and production operations. Drive secure GenAI workflows, including prompt and data isolation, model access controls, and third-party model governance. Serve as the senior security counterpart for enterprise customers, leading technical security discussions, vendor risk reviews, and compliance mapping to SOC 2, ISO 27001, SSPA, and security documentation. Benefits include Flexible Hybrid work arrangements and opportunities for professional growth.
Required Qualifications
- 8+ years of experience in security architecture and engineering
- Experience in application security, cloud security, platform security, or enterprise SaaS security
- Ability to design and implement enterprise-grade security architecture
- Hands-on cloud security expertise, preferably Azure, with IAM, networking, private endpoints, containers, key management, encryption, logging, monitoring, workload identity
- Experience with SSO, SAML, OIDC, RBAC, secrets management, vulnerability management, secure coding practices
- Experience working with enterprise customers and cross-functional teams to lead security reviews and deployment security planning
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