Engineer, AI Engineering Tools

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, 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: Open to remote work in the US. Chicago, IL is the preferred location.

What You’ll Do

• Administer the AI Enterprise Engineering organization’s tool footprint including tools such as GitHub Enterprise Server, GitHub 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 GitHub, 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.

Basic Qualifications

• 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 GitHub Enterprise and GitHub Actions.

• Hands-on administration experience with each category with similar tools: AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Claude Code), project tracking tools (e.g., Linear, Jira), and collaboration platforms (e.g., Slack, Notion).

• Experience managing user lifecycle (provisioning, deprovisioning, access and permissions) across multiple systems.

• Experience working directly with software vendors, including renewals, support escalation, and evaluation of new tools.

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

Preferred Qualifications

• Direct administration experience with GitHub Enterprise, Cursor, and Linear specifically.

• Experience administering artifact/package repositories, observability or monitoring tools, or incident management platforms.

• Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to enterprise tools.

• Experience building automations or integrations across developer and engineering SaaS platforms (e.g., GitHub Actions, native APIs, low-code automation tools).

• Experience partnering with security, legal, or compliance teams on tool and plugin review and approval processes.

• Experience creating training materials and leading onboarding or enablement sessions.

• Interest in AI-assisted software development tools and how they are changing engineering workflows.

Description and Requirements