Sr. AI Security Enterprise Engineer

Key Responsibilities

• Design, develop, and deliver scalable backend services and enterprise platform capabilities.
• Own significant components and subsystems throughout the software development lifecycle with minimal oversight.
• Build and extend enterprise-grade AI platform services and integrations.
• Develop and implement enterprise security capabilities, including:
• Single Sign-On (SSO)
• SAML 2.0
• OAuth
• Role-Based Access Control (RBAC)
• Multi-Factor Authentication (MFA)
• Audit Logging
• Data Segmentation and Access Controls
• Build and enhance enterprise administration capabilities that enable administrators to manage identities, connectors, policies, agents, and platform configurations.
• Develop integrations with enterprise systems, including:
• Corporate Identity Providers
• Workflow Automation Platforms
• Enterprise Knowledge Management Systems
• Design and implement cloud-native solutions across AWS, Azure, and Google Cloud Platform environments.
• Contribute to multi-tenant and Bring Your Own Cloud (BYOC) deployment models while ensuring compliance with data residency requirements.
• Perform architecture design, code reviews, performance optimization, and technical mentoring.
• Debug and optimize complex, multi-layered workflows spanning applications, services, and cloud platforms.
• Make and document architectural decisions while balancing scalability, maintainability, security, and delivery timelines.
• Champion engineering best practices and establish technical standards across teams.

Required Qualifications

• 10+ years of hands-on software engineering experience building and delivering production-grade backend, distributed, or platform systems.
• Demonstrated experience owning complex technical components end-to-end with minimal supervision.
• Strong programming expertise in one or more of the following:
• TypeScript / Node.js
• Python
• Java
• Go
• Rust
• Strong understanding of:
• APIs and Microservices
• Distributed Systems
• Data Stores and Database Technologies
• Concurrency and Performance Optimization
• Cloud-native Architectures and Deployments
• Experience leading technical designs, conducting code reviews, and mentoring engineers.
• Bachelor's degree in Computer Science, Engineering, or a related technical discipline (or equivalent practical experience).
• Experience building enterprise software that meets security, compliance, and IT manageability requirements.
• Experience with enterprise security certifications and compliance frameworks such as:
• SOC 2
• HIPAA
• ISO 27001
• Strong understanding of enterprise identity and authentication technologies, including:
• SSO
• SAML 2.0
• OAuth
• RBAC
• MFA
• Identity management platforms such as WorkOS or Auth0
• Hands-on experience building:
• AI/ML Systems
• Large Language Model (LLM)-based Applications
• Intelligent Workflow Automation Solutions
• Experience working with AI-assisted development environments and modern engineering toolchains.
• Experience with:
• Infrastructure-as-Code (IaC)
• Multi-tenant Platform Architectures
• Cloud Deployment Models
• Bring Your Own Cloud (BYOC) Implementations
• Prior experience working as an early-stage or founding engineer building 0-to-1 products is highly desirable.
• Master's degree in Computer Science, Engineering, or a related technical field is preferred.