Engineer, AI Engineering Tools
Listed on 2026-09-04
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Software Development
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Lenovo is a US $83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services.
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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, and to do that well, we need a strong, well-administered foundation of engineering tools behind the team building it.
We are hiring an experienced Engineer to own the engineering toolset that powers the AI Enterprise Engineering organization. This is a hands-on individual contributor position focused on administering, integrating, and supporting the tools our engineers rely on every day, including source control, AI-assisted development tools, project tracking, and collaboration platforms.
Location: Chicago, IL or Morrisville, NC
What You’ll Do- Administer the AI Enterprise Engineering organization’s tool footprint including tools such as Git Hub Enterprise Server, Git Hub Actions, Cursor, Linear, Slack, and Notion, among others: provisioning and deprovisioning users, managing org-level settings, and configuring access as the team and toolset scale.
- Provision and deprovision user access as team members join, change roles, or leave the organization.
- Manage org-level settings, configurations, and integrations across the toolset as the team scales.
- Connect the engineering toolset together, including via MCP (Model Context Protocol), so work flows across systems instead of staying siloed.
- Monitor advances in AI-assisted development tooling and proactively recommend, pilot, and adopt new capabilities as the landscape evolves.
- Build and maintain automations that move information and trigger actions across tools (for example, syncing Git Hub, Linear, and Slack) to reduce manual handoffs across the engineering organization.
- Bring structure to tools currently lacking clear ownership or support.
- Partner with adjacent teams to clarify where shared infrastructure should sit versus where AI Enterprise Engineering needs its own dedicated layer.
- Serve as the go‑to resource for tool‑related questions across the engineering organization.
- Onboard new hires onto the toolset and build training materials and sessions so the team gets full value from the stack.
- Own day‑to‑day vendor relationships across the toolset, including renewals and support escalations.
- Evaluate new tools and features as needs evolve across the engineering organization.
- Partner with Lenovo Security and Legal to present new tools, plugins, and integrations for review and approval, including contract and data processing terms.
- Maintain ongoing compliance for the existing toolset.
- 8+ years of hands‑on experience administering enterprise software tools or platforms (e.g., SaaS application administration, developer tools administration, or IT systems administration).
- Hands‑on administration experience with Git Hub Enterprise and Git Hub Actions.
- Hands‑on administration experience with each category with similar tools: AI‑assisted coding tools (e.g., Cursor, Git Hub Copilot, Claude Code), project…
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