AI Systems Engineer

About the role

A hands-on role blending enterprise IT administration with AI enablement, mostly building and supporting AI tools, agents and infrastructure, with some traditional systems administration.

What you will do

• Set up and maintain Model Context Protocol servers linking AI systems to internal tools and data, including access scoping and troubleshooti
• Configure and govern AI features inside existing SaaS platforms, coordinating with vendors and internal stakeholders
• Provision agent infrastructure such as service accounts, API keys, permission scopes, rate limit monitoring and access audits
• Write and keep documentation for AI integrations, covering architecture, access maps, runbooks and troubleshooting guides
• Administer IT systems and SaaS tools through onboarding, offboarding, access management and lifecycle reviews
• Serve as an escalation point for complex service management issues and work with security, people operations and engineering teams

What they look for

• Deep expertise in IT systems administration with strong working knowledge of AI tooling and infrastructure
• Strong project and process management plus communication skills for scoping calls, stakeholder meetings and demos
• Ability to manage credentials, permissions and integrations across internal systems
• Track record of improving reliability, automation and documentation across IT platforms
• Awareness of the AI tooling ecosystem and ability to spot useful tools and integrations