AI Solutions Engineer II

University of Central Florida•Orlando, FL
•Onsite

About The Position

University Operations at UCF is dedicated to fostering a supportive and inclusive environment for its community, providing exceptional service and expertise to ensure a world-class campus experience. UCF IT is seeking an AI Solutions Engineer II to collaborate with university departments and the AI acceleration and process improvement team. This role involves identifying business needs, gathering requirements, and designing, prototyping, building, and validating AI-enabled solutions on approved enterprise platforms. The position is responsible for the early stages of the solution lifecycle, from discovery through initial build, testing, and transitioning to the relevant AI development, application, or operational support teams. The classification title for this role is Systems Engineer II.

Requirements

  • Bachelor's degree and 2 years of relevant experience; or High School Diploma (or equivalent) and 6 years of relevant work experience in lieu of degree or an equivalent combination of education and experience pursuant to Fla. Stat. 112.219(6).
  • Valid Class E driver’s license.
  • Must be authorized to work for any U.S. employer.
  • Must reside in Florida as of the date employment begins.

Nice To Haves

  • Experience gathering, analyzing, and documenting business, functional, technical, data, and integration requirements for enterprise technology, automation, or digital transformation initiatives.
  • Experience facilitating discovery sessions, business process reviews, workshops, and stakeholder interviews, with the ability to document current-state and future-state workflows, process maps, use cases, and business requirements.
  • Knowledge of AI, workflow automation, low-code/no-code platforms, system integrations, and digital process improvement methodologies, including the ability to evaluate and recommend technology-based solutions to business challenges.
  • Experience designing, configuring, implementing, or supporting business applications, automation solutions, integrations, dashboards, or AI-enabled services in collaboration with technical and business stakeholders.
  • Demonstrated ability to manage multiple projects or initiatives simultaneously, including coordinating testing activities, tracking risks and dependencies, facilitating issue resolution, and supporting implementation readiness and deployment efforts.
  • Experience developing and delivering presentations, training materials, user documentation, knowledge articles, and executive-level recommendations for both technical and non-technical audiences.

Responsibilities

  • Elicits, analyzes, prioritizes, and documents business, functional, data, integration, security, and operational requirements.
  • Translates requirements into solution concepts, technical specifications, acceptance criteria, and build plans using approved AI, automation, integration, and low-code platforms.
  • Creates solution designs, prototypes, workflow models, integration approaches, and data flow designs; performs hands-on configuration to prove feasibility; and validates designs with stakeholders and technical teams.
  • Collaborates with academic, administrative, research, and technology departments to understand business objectives, challenges, and service needs.
  • Facilitates discovery sessions, interviews, and workshops with process owners, subject matter experts, and technical teams, and documents current-state and future-state processes using process maps, workflows, use cases, and supporting narratives.
  • Identifies inefficiencies, manual activities, control gaps, and opportunities to simplify or automate work.
  • Recommends process and technology improvements that align with university priorities, policies, accessibility standards, and customer needs.
  • Builds, configures, and implements initial AI, automation, workflow, integration, and reporting solutions in partnership with AI developers, application, data, infrastructure, cybersecurity, and identity management teams, and vendors.
  • Serves as the customer-facing solution engineer from planning and design through testing and deployment readiness, tracking dependencies, decisions, risks, and issues across participating teams.
  • Designs and implements assistants, agents, automations, integrations, and other AI-enabled capabilities with the AI development team and enterprise architects.
  • Evaluates when AI, automation, low-code, integration, or process changes are appropriate; uses trusted data sources with proper access controls; addresses privacy, cybersecurity, accessibility, records management, and responsible AI requirements; and builds prototypes and proofs of concept that establish a clear path to production.
  • Leads user acceptance testing, implementation readiness, documentation, knowledge transfer, training coordination, and formal transition of solutions to AI development, application, or operations teams for day-to-day support.
  • Maintains solution documentation, process maps, requirement records, decision logs, and knowledge articles.
  • Provides status updates, presentations, and recommendations to technical and nontechnical audiences; monitors implemented solutions and gathers feedback to drive refinement and adoption; and participates in standards development and communities of practice for enterprise AI and automation services.
  • Other duties as assigned.

Benefits

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Flexible Spending
  • Employee Assistance Program
  • Paid time off, including annual and sick time off and paid holidays
  • Retirement savings options
  • Employee discounts, including tickets to many Orlando attractions
  • Education assistance
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