Sr. AI Enterprise Solutions Engineer

Why Work at Lenovo

Description and Requirements

About Our Team

We are building Qira, Lenovo's next-generation cross-device Personal AI platform that delivers intelligent, context-aware experiences across Windows, Android, and the cloud. Our AI Enterprise Engineering team is extending Qira into an enterprise-ready platform adopted by business customers at scale.

About the Role

The Sr. AI Enterprise Solutions Engineer is the technical bridge between Qira for Enterprise engineering and Lenovo’s commercial teams and enterprise customers. This is a hands-on, customer-facing individual-contributor role for a technologist with a business mindset: someone technical enough to configure, integrate, and demo the product, and commercially fluent enough to engage CIOs and CISOs and translate what enterprises actually need back into engineering.

You will lead Lenovo’s “Customer Zero” adoption of Qira for Enterprise, run customer pilots, and be the person who has an answer in the room, not “I’ll get back to you.” This is a versatile, cross-functional role: part solutions engineer, part customer liaison, and part project coordinator, keeping enterprise pilots and rollouts organized and moving.

Location: US Remote

What You’ll Do

• Lead “Customer Zero”: deploy, configure, and pilot Qira for Enterprise inside Lenovo, driving real adoption and surfacing requirements from live usage.

• Run enterprise pilots, proofs of concept, and demos; configure enterprise capabilities and troubleshoot hands-on across identity, deployment, and workflow scenarios.

• Own solution design for enterprise workflow automation use cases connecting Qira to the systems employees and IT teams use every day.

• Engage CIO, CISO, and IT-administrator stakeholders on security posture, deployment and configuration models, integration patterns, and manageability.

• Translate enterprise customer requirements into concrete engineering input, and feed ground-level signal back to the engineering team during development.

• Support commercial alignment and go-to-market readiness (previews, pilots, and general-availability milestones), partnering with sales and commercial teams.

• Provide light project and program management across enterprise pilots and rollouts: coordinate cross-functional workstreams, track milestones, timelines, and dependencies, and keep engineering, commercial, and customer stakeholders aligned and moving.

• Build demo environments, reference configurations, and enablement materials that accelerate enterprise evaluations.

• Represent the customer’s technical reality inside engineering, and represent engineering’s capabilities credibly in front of customers.

Basic Qualifications

• 12+ years in solutions engineering, sales/pre-sales engineering, technical consulting, or customer-facing enterprise software engineering.

• Hands-on technical ability to configure, integrate, demo, and troubleshoot enterprise software, not a purely commercial or account-management background.

• Experience engaging enterprise IT stakeholders (CIO/CISO/IT administrators) and running pilots or proofs of concept.

• Strong communication skills with the ability to move fluently between technical and business audiences.

• Bachelor’s degree in a technical field, or equivalent experience.

Preferred Qualifications

• Experience with enterprise identity and SSO (SAML, OAuth, RBAC) and/or workflow automation and iPaaS platforms such as Workato.

• Experience with AI/LLM-based products and intelligent workflow use cases.

• Track record running B2B pilots, beta deployments, or “customer zero” / internal-adoption programs.

• Commercial acumen, comfortable contributing to positioning, business cases, and CIO/CISO conversations.

• Project or program management experience (formal or informal): comfortable coordinating cross-functional workstreams, timelines, and dependencies to keep initiatives on track.

• Familiarity with enterprise security, compliance, and deployment considerations (BYOC, on-prem, data residency).

• Bachelor’s or Master’s in Engineering, Computer Science, or a related field.

Description and Requirements