AI Automation Designer I

University of Central Florida•Orlando, FL

1d•Onsite

About The Position

The UCF IT department within Facilities and Business Operations is seeking to hire a Systems Engineer I – AI Automation Designer I. This role is responsible for serving as part of the university’s AI Center of Excellence, embedding with administrative teams to design, implement, and promote AI-enabled process automations and workflows. The position exists to deliver automation solutions and to establish repeatable patterns that can be leveraged for future automation deployments.

Requirements

Bachelor’s degree; or High School Diploma (or equivalent) and 4 years of relevant work experience in lieu of degree, or an equivalent combination of education and experience pursuant to Fla. Stat. 112.219(6).

Nice To Haves

1+ year demonstrated experience designing, developing, and deploying automation solutions using low-code RPA platforms (e.g., Microsoft Power Automate) and scripting languages such as Python.
1+ year hands-on experience with AI/ML technologies and platforms (e.g., Azure OpenAI, Azure Machine Learning).
Understanding of automation design principles, workflow orchestration, and process optimization.
Excellent communication and collaboration skills with the ability to partner across multi-functional administrative and technical teams.
Experience working with large language models (LLMs).
Familiarity with Microsoft, Azure, or other hyperscale cloud environments such as AWS or GCP

Responsibilities

Partner with members of the AI Center of Excellence and administrative teams to identify and design high-impact automation opportunities that deliver measurable business value.
Design, develop, and deploy automation solutions using low-code RPA tools (e.g., Microsoft Power Automate), Python scripting, and AI/ML capabilities in Azure (e.g., Microsoft Foundry).
Create reusable playbooks, agent templates, and modules (e.g., FAQ agents, tool-invoking agents, knowledge bots) for replication across departments.
Support deployment, testing, and roll-out of AI/agent workflows, including logging, error handling, fallback strategies, and quality assurance.
Ensure adherence to governance, privacy, and security standards in all AI deployments.