CIS – AI Software Development Faculty

Since 1966, the dedicated employees at ECPI University have helped students achieve their goals through practical training and career-focused education, offering more than 50 associate, bachelor’s, and master’s degree programs.

Our culture prioritizes student success through the strength of our faculty, industry-aligned curriculum, and hands-on learning model. Visit www.ecpi.edu/employment to learn how you can help people improve their lives through education.

This position is ideal for a Software Development professional who is excited to teach in a modern, applied environment—one that increasingly reflects how software is built today using AI-augmented development tools, intelligent agents, and data-driven systems.

Our five-week terms and small class sizes provide an exceptional setting for faculty to share real-world experience, mentor students closely, and connect theory to professional practice. If you are highly motivated and passionate about teaching, ECPI University may be the place for you.

• Master’s degree in Computer & Information Science or a master’s degree with 18 graduate semester hours in the discipline from a regionally accredited institution
• D. in Computer & Information Science preferred
• 3–5 years of industry experience required; 8–10 years preferred

• Programming experience in one or more of the following:
  C, C++, C#, Java, JavaScript, PHP
• Database experience with MS SQL Server or Oracle, including SQL (Structured Query Language)
• Experience with AI-augmented software development tools, such as:
  • AI-assisted coding, debugging, and testing tools
  • Prompt-driven development workflows
  • Code generation and review using AI systems
• Exposure to agentic AI concepts, such as:
  • Autonomous or semi-autonomous software agents
  • Workflow orchestration and task-driven agents
  • Responsible use of AI agents in software systems
• Foundational experience or applied exposure to machine learning, including:
  • Integrating ML models into software applications
  • Working with data-driven features or intelligent system components
  • Understanding model lifecycle, limitations, and ethical considerations

• Two years of teaching, training, or professional presentation experience preferred

• Strong academic and professional record
• Ability to teach active, hands-on, and project-based courses
• Experience in a student-centric learning environment
• Commitment to ethical technology use and academic integrity
• Results-oriented mindset with strong organizational skills
• Excellent interpersonal, verbal, and written communication skills
• Ability to contextualize AI and machine learning tools as enablers of human creativity and professional judgment, not replacements