Online Software Development Adjunct Faculty - Artificial Intelligence / Generative AI / Applied AI Development

Overview

ECPI University is seeking a Software Development Faculty Member with deep expertise in AI-augmented development practices to serve as a Subject Matter Expert (SME). This role leads the integration of AI tools, responsible development principles, and modern software engineering practices across the undergraduate software development curriculum — with a particular focus on preparing students who are new to coding to work productively and ethically alongside AI systems from day one of their careers.

Key Responsibilities

• Serve as institutional SME for AI-augmented software development, guiding curriculum design across the full undergraduate software development program

• Design, develop, and refine curriculum covering AI-assisted coding, LLM-based application development, prompt engineering, AI-augmented architecture and design thinking, and responsible/ethical AI development practices

• Teach courses at the intersection of software development and artificial intelligence, using real-world tools, scaffolded projects, and industry-aligned case studies accessible to students with no prior coding experience

• Model professional AI-augmented development workflows in the classroom — including AI coding assistants (e.g., GitHub Copilot, Kilo Code), LLM API integration, and prompt-driven design and documentation practices

• Incorporate secure coding principles (OWASP Top 10, CWE) into AI-augmented development instruction, helping students understand how AI tools can both introduce and help mitigate software vulnerabilities

• Mentor faculty colleagues in adopting AI-augmented pedagogical strategies and tools across software development courses

• Collaborate with academic leadership to ensure curriculum reflects current industry expectations for AI-literate software developers

• Stay continuously current with advancements in generative AI, agentic coding tools, LLM frameworks, and their evolving roles in professional software development

Qualifications

Education

• Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field OR

• Master's degree with 18+ graduate semester hours in the discipline

• Ph.D. strongly preferred, particularly with research or applied focus in AI, software engineering, or human-computer interaction

Experience

• Demonstrated hands-on expertise in AI-augmented software development (e.g., AI-assisted coding workflows, LLM API development, prompt engineering, agentic development tools)

• 3–5 years of relevant industry experience (10+ years preferred), with direct exposure to AI-integrated development environments