Sr. AI Enterprise Engineer
Company: Quantum World Technologies Inc.
Location: Scottsdale, AZ (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-08-12
About this role
Job Title
: Sr. AI Enterprise Engineer
Location :
Scottsdale, AZ (Remote)
Job Description
- Sr. AI Enterprise Engineer with 10+ years of hands-on software engineering experience building and shipping production backend, distributed, or platform systems.
- Demonstrated ability to own complex components end to end and deliver with autonomy.
- MUST have : Strong programming experience in one or more modern backend languages as Rust, TypeScript/Node.js.
- GOOD to have: Strong programming experience in one or more modern backend languages as Python, Go, Java.
- Solid understanding of software fundamentals: APIs, services, data stores, concurrency, and cloud deployment.
- Experience leading technical design and mentoring other engineers.
- Bachelor’s degree in Engineering, Computer Science, or a related technical field, or equivalent experience.
- Own the design and delivery of significant components or subsystems end to end, with minimal oversight.
- Design, develop, and integrate backend services and features that extend Qira into an enterprise-ready platform.
- Implement enterprise foundation capabilities: identity and access integration (SSO, SAML, OAuth, RBAC, MFA), audit logging, and data segmentation.
- Build and extend the Enterprise Admin Console so IT administrators can configure identity, connectors, agents, policies, and usage in one place.
- Build integrations that connect Qira to enterprise systems such as corporate identity providers, workflow automation platforms, and enterprise knowledge sources.
- Contribute to enterprise deployment and portability work, including BYOC (AWS/Azure/GCP), infrastructure-as-code, and data-residency requirements.
- Lead design and code reviews, set engineering patterns, and mentor other engineers on the team.
- Make and document architecture decisions within your area, balancing speed with enterprise security and maintainability.
- Debug complex, multi-layer workflows spanning application, service, and ...