[Hiring] Online Software Development Adjunct Faculty - Artificial Intelligence / Generative AI / Applied AI Development @ECPI University

Role Description

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

• 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.
• 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.
• Experience designing or delivering curriculum, training, or professional development for beginner-to-intermediate learners.
• Teaching or mentoring experience preferred, particularly with students new to programming.

Technical Skills

• Required:
• AI-assisted coding tools and workflows (GitHub Copilot, Kilo Code, Cursor, or equivalent).
• LLM concepts and application development using LLM APIs (OpenAI, Anthropic, or equivalent).
• Prompt engineering principles and patterns for software development contexts.
• Core software development fundamentals: OOP, data structures, version control, debugging.
• Secure coding awareness: OWASP Top 10, CWE, AI-introduced vulnerability patterns.
• Preferred:
• Agentic AI frameworks (LangChain, AutoGen, or equivalent).
• Cloud AI/ML development services (AWS Bedrock, Azure OpenAI, Google Vertex AI).
• AI ethics frameworks and responsible development practices.
• Full-stack web development with AI integration.
• AI-augmented architecture and design thinking methodologies.

Certifications (Preferred)

• GitHub Copilot or GitHub Foundations certification.
• AWS Certified Developer / Azure Developer Associate.
• Azure AI Engineer or AWS ML Specialty.
• Google Professional ML Engineer.
• Any recognized LLM/generative AI development credential.
• Certified Scrum Master (CSM) or SAFe Agile practitioner.

Skills & Abilities

• Deep expertise in AI-augmented development with ability to scaffold complex concepts for students encountering programming for the first time.
• Strong curriculum development skills with experience mapping AI competencies to industry frameworks (e.g., NICE Workforce Framework, ACM/IEEE Computing Curricula).
• Ability to model professional-grade AI workflows in accessible, confidence-building ways for novice learners.
• Commitment to responsible AI development — able to teach both the power and the ethical responsibilities of AI-assisted software creation.
• Excellent collaboration, communication, and organizational skills.
• Passion for innovation, instructional excellence, and preparing students for the AI-augmented workforce.

ECPI University is proud to be an Equal Opportunity Employer.