Hi,
Hope you are doing well.
Position: Sr. AI Enterprise Engineer
Location: Remote
Job Description
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.