Engineer, AI Engineering Tools

Lenovo

Engineer overseeing AI Enterprise Engineering tools at Lenovo. Focused on administration, integration, and supporting tools like GitHub, Slack, and Notion.

Posted 7/30/2026full-timeRemote • Illinois, North Carolina • 🇺🇸 United StatesSeniorLead💰 $150,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in administering enterprise software tools, particularly GitHub Enterprise and GitHub Actions, while effectively managing user access and permissions across multiple systems. Proficient in building automations and onboarding new hires onto complex toolsets, with a focus on AI-assisted development tooling.

Highest-signal resume keywords

GitHub Enterprise AdministrationAI-Assisted Coding ToolsUser Lifecycle ManagementAutomation DevelopmentCollaboration Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Enterprise Software AdministrationUser ProvisioningUser DeprovisioningAccess ManagementTool IntegrationConfiguration ManagementProject Tracking ToolsAutomation BuildingTraining Material DevelopmentVendor Management

Tools & Technologies

GitHub ActionsCursorLinearSlackNotionJira

Industry Keywords

AI-Assisted DevelopmentTool Footprint ManagementModel Context ProtocolSoftware Vendor Management

About the role

Key responsibilities & impact

Administer the AI Enterprise Engineering organization’s tool footprint including tools such as GitHub Enterprise Server, GitHub Actions, Cursor, Linear, Slack, and Notion
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)
Monitor advances in AI-assisted development tooling and proactively recommend, pilot, and adopt new capabilities
Build and maintain automations that move information and trigger actions across tools
Partner with adjacent teams to clarify where shared infrastructure should sit versus where AI Enterprise Engineering needs its own dedicated layer
Onboard new hires onto the toolset and build training materials and sessions

Requirements

What you’ll need

8+ years of hands-on experience administering enterprise software tools or platforms
Hands-on administration experience with GitHub Enterprise and GitHub Actions
Hands-on administration experience with 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.

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development opportunities