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

Job in Virginia Beach, Virginia, 23450, USA
Listing for: ECPI University
Full Time position
Listed on 2026-06-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: AI-Augmented Software Development Faculty / Subject Matter Expert (SME)

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

Job Category
:
Faculty

Requisition Number
: AIAUG
004153

  • Posted:
    April 16, 2026
  • Full-Time
  • On-site
Locations

Showing 1 location

Description

This position is for day-time faculty.

This position is based at our Virginia Beach, VA campus location.

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., 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.
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;
  • 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 (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.
Certifications (Preferred)
  • 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.
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…
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