Principal Software Engineer - AI Platform

If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
Grade:
Technical 412

Pay Range: $ - $Job Description Make an ImpactWGU’s Student Experience team builds the digital experiences that help working adults balance education, careers, and family responsibilities. We are creating a conversational AI platform that empowers students, staff, and applications to accomplish meaningful work through secure, intelligent experiences grounded in WGU systems and data.

As Principal Software Engineer, AI Platform, you will architect and build this platform from the ground up. You will shape retrieval, inference, orchestration, guardrails, evaluation, security, and API capabilities that enable teams across WGU to create trusted AI-powered experiences.

This is a hands-on product engineering role focused on delivering scalable, secure, and observable AI solutions. You will establish the technical foundations, standards, and platform capabilities that other engineering teams will leverage as they build the next generation of AI-driven products.

What You'll Do Architect and build a conversational AI platform that supports retrieval over WGU content and data, inference integration, orchestration, tool calling, conversation state management, and multiple application experiences.

Own the platform’s security and privacy model, ensuring retrieval, generation, and tool execution are authorization-aware and maintain strict student data protections aligned with FERPA requirements.

Build guardrails and governance capabilities including input and output filtering, escalation workflows, prompt injection resistance, audit logging, and explainability controls.

Establish evaluation and observability frameworks that measure groundedness, quality, latency, reliability, and cost across AI-powered systems.

Define MCP servers, tool contracts, APIs, templates, libraries, and reference implementations that enable engineering teams to build AI-powered workflows securely and consistently.

Design, build, test, operate, and modernize production services, APIs, integrations, and interfaces using modern software engineering practices in a Java and Angular environment on AWS.Provide technical leadership through architecture guidance, mentoring, documentation, operational excellence, and production support.

What You'll Bring Bachelor’s degree in Computer Science, Information Technology, or a related field.
12+ years of professional software engineering experience designing, building, and operating production web applications and services.

Demonstrated…