Overview
AI Automations and Integrations Developer at Davenport University. This is a full-time, exempt position in the Information Technology department located in Grand Rapids. Reports to the Director of Custom Applications and Web Development. Salary : $85,000.
The primary role is to design, develop, and implement automation solutions to streamline business processes and enhance operational efficiency across the University. This position will leverage scripting languages, APIs, and cloud-based AI services to create robust integrations between disparate systems, using languages such as Python, JavaScript, TypeScript, React, and low-code / no-code platforms. All work should be performed in an ethical manner consistent with the University's mission, vision, and cultural values.
You Will Love This Job If You
- Enjoy solving complex business problems with creative automation and AI-powered solutions.
- Like working with stakeholders to understand their needs and architect scalable integrations.
- Thrive on connecting different systems and working with APIs from various sources.
- Want the opportunity to contribute to the future technical direction of the department.
Responsibilities
Design, develop, and maintain a portfolio of automation workflows and AI-powered applications.Build and support custom integrations using scripting languages such as Python, JavaScript and TypeScript.Utilize low-code / no-code platforms (e.g., Zapier, n8n) to rapidly deploy and manage workflows.Consume and produce RESTful APIs to facilitate data exchange between enterprise systems, including cloud and on-premise applications.Author SQL queries and scripts to retrieve, manipulate, and store data for AI and automation processes.Assist in deploying, monitoring, and maintaining applications in a Linux environment, applying basic DevOps principles.Work closely with end-users and department leaders to identify opportunities for automation and process improvement.Define, develop, and implement scalable architectures for automation and integration solutions.Document solutions, integrations, and processes clearly and consistently.Provide training and support for developed solutions to ensure successful adoption.Track recurring system issues and implement permanent solutions.Serve on appropriate ITS teams and committees.Promote the University Cultural Values and provide excellent customer service.Understand and abide by external and internal regulations and policies (e.g., NCAA, GLIAC and related affiliations).Perform other duties as assigned.Qualifications
Bachelor's degree and two-plus years of experience in automation development, systems integration, or a related field preferred.Minimum one year of experience leveraging Generative AI (GenAI) and Large Language Models (LLMs) to create business automations.Proficiency in a scripting language such as Python or TypeScript; experience with React is a plus.Strong understanding of APIs and hands-on experience making RESTful API calls.Proficiency with JSON and XML data formats.Experience with low-code / no-code integration platforms (e.g., Zapier, n8n) is highly desired.Foundational knowledge of SQL and relational databases.Basic understanding of a major cloud platform (AWS, GCP, or Azure) is a plus.Some experience with Linux command line and deploying applications is preferred.Experience with Salesforce is a plus.Strong planning, goal-setting, and deadline management capabilities.Excellent interpersonal, communication, and presentation skills, both written and oral.Ability to work effectively with people of diverse backgrounds and promote a positive working environment, cooperation, and conflict resolution.Demonstrated integrity, ethics, and dedication to the university mission; able to provide exceptional customer service.Business office environment; ability to sit / stand for extended periods and use computer / phone. Occasional travel between locations required; own transportation. No regular lifting; occasional lifting up to 50 pounds.DAVENPORT UNIVERSITY IS AN EQUAL OPPORTUNITY EMPLOYER. Updated 9 / 26 / 2025
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