AI Enterprise Engineer | JD Summary
This role is for an AI Enterprise Engineer focused on building enterprise-ready AI platforms and applications with strong emphasis on authentication, security, governance, and scalable cloud architecture.
Key Responsibilities
- Implement enterprise authentication and identity solutions (SSO, SAML, OAuth, RBAC, MFA).
- Design and manage multi-tenant SaaS architecture and tenant provisioning.
- Build Enterprise Admin Portals and governance capabilities.
- Ensure security, compliance, and enterprise onboarding.
- Develop cloud-native platforms, APIs, and microservices.
- Support AI/LLM-powered enterprise solutions.
Must-Have Skills
- Identity & Access Management (SSO, SAML, OAuth, RBAC, MFA).
- Backend/Distributed Systems Engineering.
- Strong programming experience in Rust, TypeScript/Node.js, or Python.
- APIs, Microservices, Cloud-native architecture.
- Exposure to AI/LLMs.
- Ability to independently own design and delivery.
Preferred Skills
- Auth0 or WorkOS.
- Multi-tenant SaaS platforms.
- Tenant provisioning.
- Enterprise Admin Console development.
- AWS, Azure, or GCP.
- Infrastructure as Code (Terraform, CloudFormation, etc.).
- Security and Governance frameworks.