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Copilot Developer Jobs in Virginia (NOW HIRING)

... Copilot Studio, and modern orchestration frameworks. You will collaborate closely with product ... Engineering, or a related field 5+ years of experience in machine learning, AI engineering, or ...

Senior Application Developer

Mclean, VA · On-site

$97K - $133K/yr

They are seeking Senior Application Developers to support the NOAA National Weather Service AWIPS ... g., GitHub Copilot, ChatGPT, automated testing frameworks) • Exposure to Kubernetes-based ...

Front End Developer

Chantilly, VA · On-site

$125K - $145K/yr

You will own the application layer end-to-end, translating design concepts into seamless production features while using scripting and AI-assisted engineering tools (such as GitHub Copilot or Cursor ...

Senior Backend Developer

Merrifield, VA · On-site

$120K - $156K/yr

Familiarity with AI-powered development tools (e.g., GitHub Copilot, AI-assisted code generation, testing, analysis, and debugging) to improve developer productivity and code quality. * Strong ...

Senior Backend Developer

Merrifield, VA · On-site

$120K - $156K/yr

Familiarity with AI-powered development tools (e.g., GitHub Copilot, AI-assisted code generation, testing, analysis, and debugging) to improve developer productivity and code quality. * Strong ...

... Copilot, Cursor, or equivalent) as first-class parts of the engineering workflow • Own incident response coordination: drive the process, communicate status, and ensure issues reach the right ...

... Copilot, Cursor, or equivalent) as first-class parts of the engineering workflow • Own incident response coordination: drive the process, communicate status, and ensure issues reach the right ...

Configure AI Builder, Copilot Studio, or Azure AI capabilities to support predictive task modeling ... Azure DevOps and Git source control * API and third-party integration experience The annual salary ...

Configure AI Builder, Copilot Studio, or Azure AI capabilities to support predictive task modeling ... Azure DevOps and Git source control * API and third-party integration experience The annual salary ...

AWS Java FSD

Reston, VA · On-site

$54.50 - $70.50/hr

... Copilot / GHCP to improve developer productivity and code quality (strong plus) Testing, Automation & Quality Act as an engineer of test, responsible for validating user stories end to end Build and ...

Showing results 41-60

Copilot Developer information

What is a Copilot Developer?

A Copilot Developer is a software professional who specializes in integrating, customizing, or developing solutions using AI-powered coding assistants, such as GitHub Copilot. Their role often includes enhancing developer workflows by leveraging these AI tools, contributing to codebases, and ensuring that AI-generated code meets quality and security standards. They may also provide feedback to improve Copilot's suggestions and help teams adopt AI-assisted development practices. Copilot Developers often have strong programming skills and a deep understanding of how to effectively collaborate with AI tools.

What are the key skills and qualifications needed to thrive as a Copilot Developer?

To thrive as a Copilot Developer, a strong background in software engineering, proficiency in languages such as Python, JavaScript, or TypeScript, and experience with AI/ML concepts are essential, often supported by a relevant degree. Familiarity with GitHub Copilot, code editors like Visual Studio Code, and cloud platforms such as Azure or AWS is typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset help developers integrate AI tools into workflows and assist end-users. These skills ensure efficient, innovative solutions and maximize the impact of AI-powered code assistance in software development environments.

What is the difference between Copilot Developer vs AI Software Engineer?

AspectCopilot DeveloperAI Software Engineer
Required CredentialsBachelor's in CS or related, coding skillsBachelor's or higher in CS, AI, or Data Science
Work EnvironmentSoftware development teams, tech companiesResearch labs, tech firms, startups
Industry UsageDeveloping AI-powered coding toolsDesigning and implementing AI models
Search & Comparison IntentFocus on coding automation toolsFocus on AI model development

While both roles involve AI and software development, a Copilot Developer primarily focuses on creating and improving AI coding assistants, whereas an AI Software Engineer designs and implements AI models across various applications. The roles overlap in skills but differ in their core objectives and work environments.

What are some common challenges Copilot Developers face when integrating AI-powered coding assistants into existing development workflows?

Copilot Developers often encounter challenges such as ensuring seamless integration of AI-assisted coding tools with a variety of development environments and version control systems. They must address concerns around code quality, security, and maintaining team coding standards, as AI-generated suggestions may not always align with best practices. Additionally, developers need to foster collaboration and trust within teams, encouraging effective use of Copilot without diminishing peer code reviews or knowledge sharing. Successful Copilot Developers proactively gather feedback from users and iterate on integration strategies to optimize productivity and code reliability.
What cities in Virginia are hiring for Copilot Developer jobs? Cities in Virginia with the most Copilot Developer job openings:
Infographic showing various Copilot Developer job openings in Virginia as of July 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% In-person job distribution.

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

ECPI University

Glen Allen, VA • On-site

$50.75 - $67/hr

Full-time

Re-posted 25 days ago


ECPI University rating

5.7

Company rating: 5.7 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

577th of 616 rated colleges and universities


Job description

***This is for day-time faculty***
This position is based at our Richmond, 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., 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
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 (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

Benefits
ECPI University offers a comprehensive benefits package supporting employee well-being and professional growth.
Equal Opportunity Employer
ECPI University is an Equal Opportunity Employer. We value diversity and inclusion in our workplace.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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