AI-Augmented Software Development Faculty​/Subject Matter Expert; SME

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

Job Category
:
Faculty

Requisition Number
: AIAUG
004148

• Posted :
  April 15, 2026
• Full-Time
• On-site

Showing 1 location

This position is based at our Manassas, VA campus location.

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.

• 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., Git Hub 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

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
• 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

Required:

• AI‑assisted coding tools and workflows (Git Hub 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
• Secure coding awareness: OWASP Top 10, CWE, AI‑introduced vulnerability patterns

Preferred:

• Agentic AI frameworks (Lang Chain, Auto Gen, or equivalent)
• AI ethics frameworks and responsible development practices
• Full‑stack web development with AI integration
• AI-augmented architecture and design thinking methodologies

• Git Hub Copilot or Git Hub Foundations certification
• Azure AI Engineer or AWS ML Specialty
• Google Professional ML Engineer
• Certified Scrum Master (CSM) or SAFe Agile practitioner

• 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…