Online Software Development Adjunct Faculty – Artificial Intelligence, Generative AI, Applied AI Development

ECPI University

. Serve as institutional subject matter expert for AI-augmented software development .

Posted 10/30/2026part-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-augmented software development, curriculum design, and teaching methodologies, with a strong focus on AI-assisted coding, LLM application development, and secure coding principles. Committed to mentoring and collaborating with faculty to enhance educational strategies in alignment with industry standards.

Highest-signal resume keywords

AI-Augmented Software DevelopmentCurriculum DesignAI-Assisted Coding WorkflowsLLM API DevelopmentSecure Coding Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Assisted CodingLLM Application DevelopmentPrompt EngineeringOOPData StructuresVersion ControlDebuggingAI-Integrated Development EnvironmentsAI-Augmented ArchitectureAgentic Development Tools

Soft Skills

CollaborationCommunicationOrganizational SkillsMentoringTeaching

Tools & Technologies

GitHub CopilotKilo CodeCursorOpenAIAnthropicCloud AI/ML Development ServicesAI Coding AssistantsLLM FrameworksAI Ethics FrameworksScaffolded Projects

Certifications & Qualifications

GitHub CopilotGitHub FoundationsAWS Certified DeveloperAzure Developer AssociateAzure AI EngineerAWS ML SpecialtyGoogle Professional ML EngineerCertified Scrum MasterSAFe Agile Practitioner

Industry Keywords

Responsible AI DevelopmentEthical Software CreationAI-Integrated CurriculumGenerative AIAI-Driven Pedagogy

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Serve as institutional subject matter expert for AI-augmented software development
Guide 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 AI development
Teach courses at the intersection of software development and artificial intelligence using real-world tools, scaffolded projects, and industry-aligned case studies
Model AI-augmented development workflows using AI coding assistants, LLM API integration, and prompt-driven design and documentation practices
Incorporate secure coding principles, including OWASP Top 10 and CWE, into instruction
Mentor faculty colleagues in adopting AI-augmented pedagogical strategies and tools
Collaborate with academic leadership to align curriculum with current industry expectations
Stay current with generative AI, agentic coding tools, LLM frameworks, and professional software development practices

Requirements

What you’ll need

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
3–5 years of relevant industry experience (10+ years preferred), with direct exposure to AI-integrated development environments
Demonstrated hands-on expertise in AI-augmented software development, including AI-assisted coding workflows, LLM API development, prompt engineering, or agentic development tools
Experience designing or delivering curriculum, training, or professional development for beginner-to-intermediate learners
AI-assisted coding tools and workflows, such as GitHub Copilot, Kilo Code, Cursor, or equivalent
LLM concepts and application development using LLM APIs, such as OpenAI or Anthropic
Prompt engineering principles and patterns for software development contexts
Core software development fundamentals: OOP, data structures, version control, and debugging
Secure coding awareness: OWASP Top 10, CWE, and AI-introduced vulnerability patterns
Ph.D. strongly preferred
Teaching or mentoring experience preferred
Preferred knowledge of agentic AI frameworks, cloud AI/ML development services, AI ethics frameworks, full-stack web development with AI integration, and AI-augmented architecture and design thinking methodologies
Preferred certifications include GitHub Copilot or GitHub Foundations, AWS Certified Developer, Azure Developer Associate, Azure AI Engineer, AWS ML Specialty, Google Professional ML Engineer, recognized LLM/generative AI development credentials, Certified Scrum Master, or SAFe Agile practitioner
Excellent collaboration, communication, and organizational skills
Commitment to responsible AI development and ethical software creation

Benefits

Comp & perks

Part-time employment
Remote work
Equal Opportunity Employer