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:
Job Description
Join WGU’s AI Engineering Enablement team and play a pivotal role in shaping the next generation of intelligent, scalable systems. As a Senior AI Engineer, you will lead the design and delivery of complex AI solutions that directly impact innovation across the organization. You’ll act as a technical anchor for the team, driving architecture, reliability, and excellence in production AI systems while mentoring others and influencing long-term technical direction.What You’ll Do
Lead end-to-end design and delivery of production LLM-powered applications and multi-agent systems from architecture through deployment and monitoring
Own and evolve critical AI infrastructure, ensuring reliability, scalability, and observability standards
Architect and optimize advanced RAG pipelines, including hybrid retrieval, re-ranking, and multi-index strategies
Design and implement AI evaluation frameworks, including automated regression testing, LLM-as-judge workflows, and red-teaming protocols
Drive prompt engineering strategy for complex multi-turn and multi-agent interactions, including governance and versioning practices
Lead model fine-tuning and adaptation initiatives using techniques such as LoRA, PEFT, and RLHF
Mentor AI engineers and elevate team standards through design reviews, code reviews, and technical guidance
What You’ll Bring
5+ years of experience in software engineering, data science, or machine learning.
3+ years of hands-on experience building and deploying LLM-based applications or AI systems in production.
Strong experience building and deploying production LLM-powered applications using major APIs and/or open-source models
Deep knowledge of agentic AI systems including tool use, memory architectures, and multi-agent coordination
Advanced expertise in RAG pipeline design, embedding strategies, and retrieval optimization
Experience designing scalable evaluation frameworks, including automated testing and quality measurement
Proficiency in Python and strong software engineering fundamentals, including system design and CI/CD practices
Experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent) in production contexts.
Ability to lead complex technical discussions, mentor others, and operate effectively in fast-moving environments
Bonus Points
Experience with Databricks or related certifications
Experience with open-source model ecosystems (Hugging Face, Ollama, vLLM) and self-hosted inference infrastructure.
Experience with AWS and cloud-native AI infrastructure
Background in EdTech, personalized learning, or student-facing AI applications
Experience in Lieu of Education
An equivalent combination of relevant education and experience performing advanced AI engineering work will be considered.
At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
Introductory call with a Talent Partner
Hiring manager interview
Technical interview with senior team member
Team panel interview with live coding exercise
Work Location
This is a full-time, in-office position requiring five days per week in our Raleigh, NC office, designed to foster the collaboration and connection that fuel our best work.
Visa Sponsorship
While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
Equivalents and Substitutions
Equivalent relevant experience may substitute for degree requirements (1 year of experience per year of education at the discretion of the Hiring Manager).
#LI-AW2
Position & Application Details
Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.
Additional Information
Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive.
Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at [email protected].
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.
Skills Required
- Master's degree in Computer Science, Software Engineering, Data Science, Machine Learning, Mathematics, Physics, or a related field or equivalent experience
- 5+ years of software development in a cloud environment
- 3+ years building large-scale ML/DL models from POC to production
- Hands-on experience with DL frameworks such as PyTorch or TensorFlow
- Experience with cloud data platforms like AWS, Azure, GCP and data/ML tooling such as Databricks, MLFlow, Streamlit
- Proficiency in ETL, feature engineering, and data visualization
- Experience operating high-availability and scalable distributed systems with GitOps practices (Terraform preferred)
- Familiarity with stream processing and modern ML deployment patterns
- Strong programming skills in Python, Java/Scala, and/or Go
- Excellent analytical and problem-solving abilities
- Effective written and verbal communication
- Ability to thrive in a fast-paced, collaborative environment
- Experience guiding junior engineers and providing technical leadership
What We Do
Western Governors University is a private, nonprofit online university that provides accessible, competency-based education designed for working professionals.
