Lead Senior Security Engineer (Enterprise AI Platform)

What you'll do

• Design and implement secure platform and customer deployment architectures, including identity, data protection, tenant isolation, and monitoring.
• Embed security into engineering and operations, including CI/CD, infrastructure-as-code, incident response, and production practices.
• Secure AI workflows and lead enterprise customer security reviews, procurement assessments, and compliance support.

What they ask for

• 8+ years of experience in security architecture and engineering.
• Proven ability to design and implement enterprise-grade security architecture for SaaS, cloud-native, customer-facing, or large-enterprise platforms.
• Strong hands-on cloud and infrastructure security expertise, including IAM, networking, containers, encryption, and monitoring.
• Experience with identity and application security, enterprise customers, and cross-functional engineering teams.

Nice to have

• Experience securing AI platform capabilities.
• Cloud security architecture experience, preferably Azure.

Tools

Azure, SSO, SAML, OIDC, RBAC, CI/CD, infrastructure-as-code, SOC 2

AI focus

Lead security for AI workflows, including prompt and data isolation, retrieval security, model access controls, secure tool use, adversarial testing, output governance, audit trails, and third-party model controls.