• The New Jersey State Office of Innovation is looking for diverse and experienced team members to deploy world-class innovative and digital services that solve pressing public interest challenges for the people of New Jersey. • Our team members wear many hats, contributing to both the execution of core projects and the evolution of the Office of Innovation (OOI). • We are seeking a generative AI fellow with a strong interest in public service and hands-on experience researching, building, and testing LLM tools. • The Generative AI Graduate Fellow will work on multiple projects at different stages of development, contributing to research, engineering, evaluation, project management, user research, stakeholder communication, and written and verbal communication about the projects.

• Deploy world-class innovative and digital services for public interest challenges • Contribute to execution of core projects and the evolution of the Office of Innovation • Use data and research methods to inform decision making • Collaborate with stakeholders to understand and solve challenges • Support large-scale public projects with policy research and project planning

• Conduct comprehensive reviews of current People processes to identify inefficiencies and design scalable, error-resistant workflows. • Act as the advanced point of contact for complex Workday configuration, troubleshooting, and system enhancements. • Refine ticketing queue management and resolution protocols to improve the internal employee service experience. • Conduct regular, systematic audits of People Operations transactions to ensure data accuracy, procedural compliance, and system integrity. • Analyze audit findings to perform root-cause analysis and design automated safeguards that prevent future data entry errors. • Develop and maintain a centralized library of Standard Operating Procedures (SOPs), process maps, and training documentation. • Lead the implementation of new operational models, ensuring all AI-driven processes are transparent and auditable.

• Learn how teams across the business work (Customer Service, Operations, Merchandising, Marketing, Product, etc.) and identify high-impact opportunities where AI can help • Partner with stakeholders to define problems clearly, map workflows, and estimate potential value and effort • Research and evaluate AI tools and approaches (LLMs, copilots, workflow automation, search/RAG, lightweight agents) for business use cases • Build and test small prototypes or proofs of concept (e.g.: prompt workflows, chat-based assistants, automation scripts, internal knowledge helpers) • Create clear documentation and playbooks so others can reuse what you build (prompt guides, best practices, example workflows) • Help run simple enablement activities like demos, office hours, training sessions, and collecting feedback • Track results and learnings, including what worked, what did not, and recommendations for next steps • Follow responsible AI practices, including data privacy, security, and quality standards