Senior Software Engineer - Internal AI Agent Infrastructure

Qualtrics · Seattle, Washington, United States

  • Senior
  • Full-time
  • $147,000 – $178,500
  • Posted 2026-11-09
  • Confirmed live on 10 November 2026

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Job description

At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over thousands of clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

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When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.

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Senior Software Engineer - Internal AI Agent Infrastructure

Why We Have 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. This role will contribute to the platform, including a near-term effort to support Press Ganey users with a different GitLab instance. The work also includes the MCP gateway, which connects approved tools and services for internal use. The platform helps engineers use AI capabilities while the team manages security and governance requirements. The role works with a senior engineering team and responds to feedback from engineers across Qualtrics.

How You'll Find Success

• Take initiative, be a self-starter, and propose ideas to move the team forward.

• Follow the latest industry trend changes in AI tooling and research how they could be applied to the platform.

• Possessing deep knowledge of agent concepts such as MCPs, skills, harnesses, and more.

• Advocate for changes that can improve platform usage, speed, or reliability.

• Use feedback from engineers to help shape platform work.

• Take responsibility for features through release and follow-up bug fixes.

How You'll Grow

• Develop experience building and maintaining an internal cloud agent platform.

• Learn about AI tools and developments by evaluating how they can be used at Qualtrics.

• Understand how to build and maintain security controls and provide AI governance to an enterprise.

• Hone your product management skills by learning the needs of our engineers to build out roadmaps boosting their productivity.

Things You'll Do

• Improve the platform by designing and implementing new features based on engineering needs and feedback.

• Expand access to the platform by supporting new GitLab instances and other repositories.

• Enable internal tool use by managing and governing our MCP Gateway which controls all MCP integrations.

• Partner with our security team to ensure all new toolings are compliant and adequate admin controls are in place.

• Proactively improve platform use and reliability by identifying bottlenecks and making changes to address them.

• Own delivered features through release and address bugs and technical debt that arise.

What We're Looking For On Your Resume

• Experience improving developer experience (DevEx), such as 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 your daily workflow.

• A track record of designing and building platforms that scale, along with reliable, maintainable systems and processes.

• Experience partnering directly with internal users to gather feedback, measure adoption, and turn pain points into product improvements.

• Strong ownership and communication skills, including driving cross-team initiatives, writing clear technical documentation, and helping other engineers adopt new tools and practices.

• Machine learning experience is a plus, not a requirement.

• 5+ years of software development experience.

What You Should Know About This Team

• The team has 6 people, all at senior level or above, and has an on-call rotation.

• Work is mostly focused coding, with a daily standup and usually about one weekly team discussion or design review.

• The team moves fast; we have at least one notable change each week that impacts all of engineering.

• The team uses feedback from engineers to guide platform improvements.

• The team's work includes reviewing new AI developments and considering how to make them usable by other engineers.

Our Team's Favorite Perks and Benefits

• Fun and collaborative office environment with in office amenities, food, drinks, outdoor space, and of course, pinball!

• Quarterly team offsites, giving developers a ch

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