Engineer, AI Engineering Tools

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.