AI-Augmented Software Development Faculty / Subject Matter Expert (SME)

ECPI University•Short Pump, VA

1d•Onsite

About The Position

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.

Requirements

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
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
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
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

Nice To Haves

Ph.D. strongly preferred, particularly with research or applied focus in AI, software engineering, or human-computer interaction
Teaching or mentoring experience preferred, particularly with students new to programming
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
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

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