Senior Software Engineer - Internal AI Agent Infrastructure
Qualtrics · Seattle, Washington, United States
About this role
**Senior Software Engineer — Internal AI Agent Infrastructure** **About Qualtrics** Qualtrics builds software that helps the world’s best brands deliver exceptional frontline experiences, build high-performing teams, and design products people love. You’ll join a nimble, senior team empowered to set aggressive goals, move fast, and solve complex problems together—while focusing on security, governance, and customer impact. --- ## **Why this role** The **Internal AI Agent Infrastructure** team builds an internal cloud agent platform that helps Qualtrics engineers use **AI agents running on company infrastructure**. You’ll contribute to: - A near-term effort to support **Press Ganey users** with a different **GitLab** instance - The **MCP gateway**, connecting approved tools and services for internal use - Platform work that balances **AI capability enablement** with **security and governance requirements** --- ## **How you’ll find success** - Take initiative and propose ideas to move the team forward - Stay current on AI tooling trends and research how they can be applied to the platform - Have deep knowledge of agent concepts such as **MCPs, skills, harnesses**, and more - Advocate for changes that improve platform **usage, speed, or reliability** - Use engineer feedback to shape platform work - Own features through release and follow-up bug fixes --- ## **How you’ll grow** - Build and maintain an internal cloud agent platform - Evaluate AI tools and developments for adoption at Qualtrics - Learn how to build and maintain security controls and provide AI governance for an enterprise - Strengthen product management skills by translating engineer needs into roadmaps that boost productivity --- ## **Things you’ll do** - Improve the platform by designing and implementing new features based on engineering needs and feedback - Expand access by supporting new **GitLab instances** and other repositories - Enable internal tool use by managing and governing the **MCP Gateway** (controls all MCP integrations) - Partner with the security team to ensure new tooling is compliant and has adequate admin controls - Proactively improve platform use and reliability by identifying bottlenecks and addressing them - Own delivered features through release, and address bugs and technical debt --- ## **What we’re looking for** - Experience improving **developer experience (DevEx)** (building, buying, or integrating tools for internal engineering teams) - Hands-on expertise with modern AI tooling, including **MCP servers**, **agent skills**, **agent harnesses**, and using AI agents in daily workflows - Track record designing and building **scalable platforms** with reliable, maintainable systems - Experience partnering with internal users to gather feedback, measure adoption, and turn pain points into product improvements - Strong ownership and communication skills (cross-team initiatives, clear technical documentation, helping others adopt new tools) - **Machine learning experience is a plus** (not required) - **5+ years** of software development experience --- ## **Team notes** - Team of **6**, all senior level or above, with an **on-call rotation** - Mostly coding work with a daily standup and typically ~1 weekly team discussion/design review - Fast-moving team with at least one notable change each week impacting engineering - Uses engineer feedback to guide platform improvements - Reviews new AI developments and evaluates how to make them usabl
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