CIS – AI Software Development Faculty

About the role

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.

Responsibilities

• Teach in a modern, applied environment focusing on AI-augmented development tools, intelligent agents, and data-driven systems.
• Share real-world experience, mentor students closely, and connect theory to professional practice.
• Work in a small class size setting with five-week terms.
• Use AI-assisted coding, debugging, and testing tools, prompt-driven development workflows, and code generation and review using AI systems.
• Explain and apply agentic AI concepts, such as autonomous or semi-autonomous software agents, workflow orchestration, and task-driven agents.
• Integrate ML models into software applications, work with data-driven features or intelligent system components, and understand the model lifecycle, limitations, and ethical considerations.

Qualifications

• 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, and exposure to agentic AI concepts, such as: autonomous or semi-autonomous software agents, workflow orchestration, and task-driven agents.
• 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.

Skills / Abilities

• Strong academic and professional record.
• 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.

Benefits

ECPI University offers a comprehensive benefits program designed to support health, well-being, and work/life balance for faculty and staff. To learn more about ECPI benefits, click HERE.

Pay

$1,499 – $1,801 per course section. Compensation is determined by discipline, credential level, and course type. Ranges reflect good faith estimates based on current pay practices.

Schedule

Five-week terms with small class sizes.