Job DescriptionJoin 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 EducationAn 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 LocationThis 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 SponsorshipWhile 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).
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Position & Application DetailsFull-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 InformationDisclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.
