Senior AI-Driven Learning Systems Engineer

Western Governors University; Salt Lake City (UT); On-site; USD 83,000 - 124,000; Full time

Benefits offered by this job

Bonuses

Health insurance

Tuition discount

Paid time off

HSA/FSA

Job summary

Western Governors University (WGU) is seeking an experienced engineer to design and scale AI-powered learning systems for WGU Academy. The role sits at the intersection of applied AI, learning platforms, front-end engineering, and automation to translate learning intent into functional, reusable, intelligent systems.

You will develop AI-driven workflows, reusable components, and platform-level solutions that improve speed, quality, and scalability across the learning ecosystem, while

Qualifications

• Portfolio of AI/LLM-based applications or projects required.
• Bachelor's degree or equivalent experience in CS/AI/education technology.
• 5 years of software engineering, applied AI, or learning systems development.

Responsibilities

• Leads design and development of AI-powered learning systems and workflows.
• Builds and integrates AI-driven workflows using LLMs and AI platforms.
• Designs and implements RAG systems grounded in trusted content.
• Leverages orchestration frameworks to connect tools, context, and workflows.
• Mentors team members and promotes best practices in AI and learning systems.

Skills

LLM experience

Prompt engineering

Front-end development

APIs

Collaboration across teams

Troubleshooting

Learning science understanding

Education

Bachelor's degree in Computer Science or related field

Tools

Kiro

GitHub Copilot

Job description

Western Governors University (WGU) is seeking an experienced engineer to design and scale AI-powered learning systems for WGU Academy. The role sits at the intersection of applied AI, learning platforms, front-end engineering, and automation to translate learning intent into functional, reusable, intelligent systems.

You will develop AI-driven workflows, reusable components, and platform-level solutions that improve speed, quality, and scalability across the learning ecosystem, while