AI Agent Architect Enterprise Automation; Hybrid
Listed on 2026-09-02
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description
UW Information Technology has an outstanding opportunity for AI Agent Builder to join their team.
About This Opportunity
Reporting to a Technology Manager in Infrastructure Service and AI Platforms, the AI Agent Builder will support the artificial intelligence (AI) initiatives at the university and its three campuses. This role is a pivotal role in shaping and implementing our AI strategy to transform UW into an AI-powered University. The AI Agent Builder is a core technical role within the AI Platforms team, focused on the design, development, deployment, and ongoing enhancement of AI-powered agents and intelligent automation solutions that serve the university.
The AI Agent Builder Engineer role will work within Service Management and AI Platform team under the UW's IT infrastructure Umbrella that provides critical technology support to all three campuses, UW Medicine, and research operations around the world.
Job Description
UW Information Technology has an outstanding opportunity for AI Agent Builder to join their team.
About This Opportunity
Reporting to a Technology Manager in Infrastructure Service and AI Platforms, the AI Agent Builder will support the artificial intelligence (AI) initiatives at the university and its three campuses. This role is a pivotal role in shaping and implementing our AI strategy to transform UW into an AI-powered University. The AI Agent Builder is a core technical role within the AI Platforms team, focused on the design, development, deployment, and ongoing enhancement of AI-powered agents and intelligent automation solutions that serve the university.
The AI Agent Builder Engineer role will work within Service Management and AI Platform team under the UW's IT infrastructure Umbrella that provides critical technology support to all three campuses, UW Medicine, and research operations around the world.
This is a full-time hybrid position with the expectation of being in the Seattle, U-District office a minimum of 3 days per week.
Key Responsibilities
[25%] AI Agent Design & Development
- 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.
Required Qualifications
To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Minimum Qualifications
- Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field or experience.
- 3 + years of professional software development experience demonstrating strong computer science fundamentals and API integration expertise, professional experience in software development.
- Demonstrated experience in AI/ML or LLM-based applications.
- Demonstrated portfolio of deployed AI agent solutions or automation tools (Git Hub repositories, case studies, or equivalent evidence of hands-on work).
- Demonstrated experience building AI agents, chatbots, or conversational AI systems using modern LLM frameworks.
- Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic, Google, or open-source models) and prompt engineering.
- Strong understanding of retrieval-augmented generation (RAG), embeddings, vector search, and contextual grounding strategies.
- Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB, pgvector) and embedding-based retrieval.
- Experience with REST APIs, cloud platforms (AWS, Azure, or GCP), and containerization (Docker).
- Strong problem-solving skills and ability to work both…
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