Lead Senior Security Engineer (Enterprise AI Platform)

About the role

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.

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
• Embed security into engineering and operations
• Partner with Cloud Engineers, DevOps Engineers, GenAI Engineers, and Forward Deployed Engineers to integrate security into CI/CD, infrastructure-as-code, container deployments, secrets management, vulnerability management, monitoring, incident response, and production operations.
• Secure AI platform capabilities
• Lead security GenAI workflows, including prompt and data isolation, retrieval security, model access controls, secure tool use, adversarial testing, output governance, audit trails, and controls around third-party model consumption.
• Serve as the senior security counterpart for enterprise customers and compliance
• Lead technical security discussions with Fortune 1000 customers, support procurement and vendor risk reviews, translate customer requirements into platform capabilities, and 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
• Experience should include application security, cloud security, platform security, enterprise SaaS security, or security architecture for complex, data-intensive systems.
• Ideally, some experience securing AI platform capabilities.
• 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 large enterprise environments.
• Deep hands-on cloud and infrastructure security expertise
• Strong experience with cloud security architecture, preferably Azure, including IAM, networking, private endpoints, containers, key management, encryption, logging, monitoring, workload identity, and infrastructure security.
• 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 security, secrets management, vulnerability management, and secure coding practices.
• Experience working directly with enterprise customers and cross-functional engineering teams
• Ability to lead customer security reviews, procurement assessments, vendor risk discussions, and deployment security planning while partnering effectively with Cloud, DevOps, GenAI, platform, and Forward Deployed Engineering teams.

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