AI Agent Builder

The University of Washington is seeking an AI Agent Builder to support its AI initiatives across its campuses. This pivotal role involves designing, developing, and enhancing AI-powered agents and automation solutions to transform the university into an AI-powered institution.

Responsibilities:

• Demonstrated experience designing, building, and iterating on AI agents to improve performance, functionality, and user outcomes
• Architect and implement advanced RAG pipelines, including embedding strategies, vector search optimization, contextual window management, and hybrid retrieval techniques
• Identify and automate repetitive administrative processes across departments using AI-powered workflows
• Integrate AI agents with university enterprise systems (e.g., SIS, LMS, HRIS, ERP, ticketing systems) via APIs and connectors
• Build AI tools that assist researchers with literature review, data analysis, grant writing support, and knowledge synthesis
• Support advanced use cases involving long-context reasoning, structured data augmentation, and research corpus grounding
• Develop bespoke AI-powered tools tailored to departmental needs (e.g., document drafting assistants, scheduling agents, data query tools)
• Implement agent orchestration frameworks such as CrewAI or equivalent enterprise-grade platforms; experience with nebulaONE or similar orchestration environments is highly desirable
• Monitor agent performance, usage analytics, and user feedback to continuously improve deployed solutions
• Implement guardrails, safety mechanisms, and evaluation frameworks to ensure responsible AI behavior