AI Enterprise Engineering Architect

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This is a senior, hands-on individual-contributor role for an engineer who builds. As AI Enterprise Engineering Architect you partner closely with leadership to build the Qira for Enterprise product end to end. That means taking UX and product designs and implementing them into a shipping product: the user experience and front-end of Qira itself as well as the backend services, APIs, and data layers behind it.

You will extend Lenovo’s core Qira platform into a secure, enterprise-ready layer, inheriting ongoing advances from the mainstream product while adding the enterprise guardrails around them.

You will operate on the IC track (Architect), setting cross-cutting architecture across the AI Enterprise Engineering organization while remaining deeply hands-on in code across the full stack. This is a builder’s role: prototype quickly, harden to production, and raise the technical bar for the whole team. Over time this role may grow to lead a team of full-time engineers and/or direct an extended group of contract and systems-integrator partners delivering against the enterprise roadmap while you remain a hands-on technical leader who can build what you are directing.

Morrisville, NC or Chicago, IL (Hybrid, 3 days onsite, 2 days remote)

• Develop the Qira for Enterprise product end to end: build the user experience and front-end of the product itself, alongside the backend services, APIs, and data layers that power it.
• Take UX and product designs and implement them in code into a polished, responsive product experience across the Qira platform (Windows, macOS, iOS, Android, and web/cloud).
• Own cross-cutting technical architecture across the AI Enterprise Engineering teams (Enterprise Foundation, Deployment, and Engineering Tools), establishing patterns and standards while writing production code yourself.
• Partner directly with leadership, product, and UX/design to translate designs into secure, scalable, well-architected implementations, closing the gap between “designed” and “shipped.”
• Build enterprise foundation capabilities: identity and access integration (WorkOS/Auth0, SSO, SAML 2.0, OAuth, RBAC, MFA), the Enterprise Admin Console, audit logging, and data segmentation.
• Ensure every administrative and management capability surfaces to the customer’s Enterprise Admin Console, so client IT administrators can self-serve user provisioning and deprovisioning, identity-provider connections, policy and permission configuration, agent governance, phased rollouts, and usage and audit monitoring across their Qira deployment.
• Build the enterprise agent creation engine: the capability that lets IT and business users create, configure, deploy, and govern custom Qira agents and agentic workflows for their organization.
• Build agentic workflow automation that connects Qira to the enterprise systems employees use every day (e.g., employee onboarding, approvals, and productivity workflows), including the Workato integration.
• Implement the enterprise knowledge layer for unified, permission-aware…