Western Governors University
Senior AI Engineer
Raleigh, NC · Senior · Full-time
Work authorization required$161k-$250kDetected 7 days ago
PythonCode ReviewDatabricksAWSCI/CDMachine LearningData ScienceLLMsRAGAgentic AILLMOpsTest AutomationManual TestingCollaborationMentoring
About the role
- 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.
- 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.
- Visa Sponsorship While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
Responsibilities
- 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
- 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
- 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
- Advanced expertise in RAG pipeline design, embedding strategies, and retrieval optimization
- Ability to lead complex technical discussions, mentor others, and operate effectively in fast-moving environments
Requirements
- experience and training
- All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.
- 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.
- 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
Compensation
- $161,000.00 - $249,500.00
Benefits
- 5+ years of experience in software engineering, data science, or machine learning.
- 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.
Company info
- At WGU, our mission drives everything we do, including how we hire.
- We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
Equal opportunity
- Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.
- Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.
Visa & Work Authorization
- While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
Apply directly at Western Governors University →Create a free account for alerts like thisView Western Governors University immigration profile
This listing is sourced directly from Western Governors University's careers page and normalized into a canonical job model.