Lead Senior Security Engineer (Enterprise AI Platform)
- Compensation
- $150K–$250K / yr
- Location
- Palo Alto, CA
- Work setup
- Hybrid
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Security
- Posted
Skills
Must have
- 8+ years of experience in security architecture and engineering Experience should include application security, cloud security, platform security, enterprise SaaS security, or security architecture fo
- Proven ability to design and implement enterprise-grade security architecture Strong track record securing SaaS platforms, cloud-native systems, customer-facing products, or platforms deployed into la
- Deep hands-on cloud and infrastructure security expertise Strong experience with cloud security architecture, preferably Azure, including IAM, networking, private endpoints, containers, key management
- Strong identity, access control, and application security background Experience with SSO, SAML, OIDC, RBAC, service identities, least-privilege access models, secure SDLC, threat modeling, API securit
- Experience working directly with enterprise customers and cross-functional engineering teams Ability to lead customer security reviews, procurement assessments, vendor risk discussions, and deployment
Full description
About Us
Evolver is building an AI platform that takes on core enterprise functions under the CFO agenda, including finance, tax, audit, risk, compliance, and operational efficiency. Our platform is deployed with Fortune 1000 companies and professional services firms to automate complex, regulated workflows that require high accuracy, strong governance, explainability, and enterprise-grade security.
We are looking for a Lead Senior Security Engineer to own and scale the security architecture, engineering practices, and customer deployment posture of our platform as we expand across large enterprise environments. This role will report directly to the CTO & Co-Founder and serve as the senior security leader responsible for ensuring that security is built into the platform, product architecture, and customer deployment model.
Role Overview
As Lead Senior Security Engineer, you will lead the security design, architecture, and implementation for Evolver’s AI platform. You will be responsible for ensuring that the platform, its cloud infrastructure, AI workflows, data pipelines, enterprise integrations, and customer deployments meet the security, privacy, and control expectations of Fortune 1000 organizations.
This is a hands-on leadership role. You will set security direction, define architecture, guide implementation, support enterprise deployments, and personally implement critical security capabilities. You will work closely with Cloud Engineers, DevOps Engineers, GenAI Engineers, and Forward Deployed Engineers to embed security into every layer of the platform and deployment lifecycle.
The ideal candidate combines deep technical security expertise with the ability to operate directly with engineers and enterprise customers.
Key Responsibilities
- Lead platform security architecture and implementation
Own the security architecture 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
Define and implement secure customer deployment models hosted on cloud and/or within customer-controlled environments. Design deployment patterns that support SSO, RBAC, API integrations, customer-controlled environments, secure data ingestion from enterprise systems, tenant isolation, customer-specific encryption at rest and in transit, secure key management, private networking, and enterprise-grade monitoring and auditability.
- Embed security into engineering and operations