Senior Software Engineer - Internal AI Agent Infrastructure

Qualtrics•Seattle, WA

8h•$147,000 - $178,500•Hybrid

About The Position

The Internal AI Agent Infrastructure team builds and maintains an internal cloud agent platform that helps Qualtrics engineers use AI agents running on company infrastructure. This role contributes to the platform, including supporting Press Ganey users with a different GitLab instance and managing the MCP gateway that connects approved tools and services for internal use. The platform enables engineers to use AI capabilities while maintaining security and governance requirements. The role works with a senior engineering team and incorporates feedback from engineers across Qualtrics. The position focuses on improving developer experience and platform adoption, expanding repository access, governing tool integrations, and ensuring security controls are in place. The team moves quickly, regularly making changes that affect engineering across the company. Team work includes focused coding, a daily standup, typically about one weekly discussion or design review, and an on-call rotation. This is a hybrid role. Employees gather in the office three days a week—Mondays and Thursdays, plus one day selected by their organizational leader—and may work wherever they want the rest of the week. The stated Washington State base annual pay range is $147,000–$178,500. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability insurance, a 401(k) with match, paid time off, wellness reimbursement, and mental health benefits.

Requirements

At least 5 years of software development experience.
Experience improving developer experience, such as building, buying, or integrating tools for internal engineering teams.
Hands-on expertise with modern AI tooling, including MCP servers, agent skills, and agent harnesses, and using AI agents in daily work.
Track record of designing and building scalable platforms, reliable systems, and maintainable 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 engineers adopt new tools and practices.

Nice To Haves

Machine learning experience.

Responsibilities

Design and implement platform features based on engineering needs and feedback.
Expand platform access by supporting new GitLab instances and other repositories.
Manage and govern the MCP Gateway, which controls internal MCP integrations.
Partner with the security team to ensure new tooling is compliant and appropriate administrative controls are in place.
Identify platform bottlenecks and make changes to improve usage and reliability.
Own delivered features through release and address bugs and technical debt.
Evaluate industry developments in AI tooling and consider how they could be applied to the platform.
Gather and use feedback from internal engineers to guide platform improvements.

Benefits

Fun and collaborative office environment with in-office amenities, food, drinks, outdoor space, and pinball.
Quarterly team offsites.
Education budget that can be spent flexibly on topics of interest.
QED (Qualtrics Engineer Development) Program, which encourages engineers to invest up to 10% of their time each quarter in career development.
Medical, dental, and vision insurance.
Life and disability insurance.
401(k) with match.
Paid time off.
Wellness reimbursement.
Mental health benefits.
A sign-on bonus and restricted stock units may be included in an employment offer.