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Ai Coding Jobs in Virginia (NOW HIRING)

You will write code, shape architecture, drive prototypes, and use AI coding tools every day to move faster and raise engineering quality across the team. You will work directly with engineers ...

Leverage modern AI coding tools such as Windsurf and Claude Code to augment software product delivery. * Work closely with business partners on scoping, defining, and building features for our ...

Leverage modern AI coding tools such as Windsurf and Claude Code to augment software product delivery. * Work closely with business partners on scoping, defining, and building features for our ...

.Net Architect With AI

Vienna, VA

$63.75 - $83/hr

Hands-on experience with Claude Code, GitHub Copilot, or equivalent AI coding assistants in production development workflows * Demonstrated ability to prompt LLMs effectively using structured ...

Experience leveraging AI coding assistants (e.g., GitHub Copilot, Microsoft Copilot, Claude Code capabilities) to accelerate development workflows. * Experience working with platforms such as Azure ...

Help inform the standards of AI-enabled development the enterprise customer and development teams should adopt (i.e., spec-driven standards for agentic development, AI-coding workflows, skills ...

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Ai Coding information

See Virginia salary details

$13

$32

$54

How much do ai coding jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for ai coding in Virginia is $32.74, according to ZipRecruiter salary data. Most workers in this role earn between $24.81 and $39.57 per hour, depending on experience, location, and employer.

Can you get a job coding with AI?

A job coding with AI typically involves developing, training, or deploying AI models and algorithms, often requiring skills in programming languages like Python, machine learning frameworks, and data analysis. Many roles also require a strong understanding of AI concepts, problem-solving abilities, and relevant certifications or degrees. Opportunities exist in tech companies, research institutions, and startups focused on AI development.

What is an AI Coding job?

An AI Coding job involves developing, training, and optimizing artificial intelligence models and algorithms. Professionals in this role typically work with machine learning, deep learning, and data processing to create AI-driven applications. They use programming languages like Python and frameworks such as TensorFlow or PyTorch to build intelligent systems. AI coders may also fine-tune models, improve efficiency, and deploy AI solutions for various industries.

What are the key skills and qualifications needed to thrive in the Ai Coding position, and why are they important?

To thrive in an AI Coding role, a strong background in computer science, programming languages (such as Python or Java), and machine learning fundamentals is essential. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and relevant certifications (such as TensorFlow Developer Certificate) is highly valuable. Strong analytical thinking, creativity, and effective teamwork are important soft skills for excelling in this position. These skills ensure you can develop robust AI solutions, adapt to evolving technologies, and collaborate effectively with cross-functional teams.

Is coding still a good career with AI?

Coding remains a valuable skill for AI-related roles, including AI coding, as it involves developing and maintaining AI systems and algorithms. While AI automates some programming tasks, demand for skilled developers who understand AI frameworks, programming languages, and data structures continues to grow. Staying updated with new tools and certifications can enhance job prospects in this evolving field.

How much do AI coders earn?

AI coders, also known as AI software developers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in machine learning, deep learning, and relevant programming languages like Python can command higher salaries.

What are the typical daily responsibilities for someone working in AI Coding?

Professionals in AI Coding typically spend their days designing, writing, and debugging code for machine learning models or AI-driven applications. They often collaborate with data scientists, product managers, and engineers to define project requirements, process data, and integrate AI solutions into existing systems. Regular tasks may include training and testing models, improving algorithm performance, and documenting code or processes. You’ll also likely participate in team meetings and code reviews to ensure alignment and maintain high-quality standards. This dynamic environment provides continuous opportunities to learn and innovate within the field of artificial intelligence.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, strategic planning, and expertise in tools like Python, TensorFlow, or PyTorch, and may require extensive experience or specialized certifications.
What are the most commonly searched types of Ai Coding jobs in Virginia? The most popular types of Ai Coding jobs in Virginia are:
What job categories do people searching Ai Coding jobs in Virginia look for? The top searched job categories for Ai Coding jobs in Virginia are:
What cities in Virginia are hiring for Ai Coding jobs? Cities in Virginia with the most Ai Coding job openings:
Infographic showing various Ai Coding job openings in Virginia as of June 2026, with employment types broken down into 74% Full Time, 25% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $68,094 per year, or $32.7 per hour.
AI-Augmented Software Development Faculty / Subject Matter Expert (SME)

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

ECPI University

Manassas, VA • On-site

$51 - $67.50/hr

Full-time

Posted 29 days ago


ECPI University rating

5.7

Company rating: 5.7 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

501st of 536 rated colleges and universities


Job description

***This is for day-time faculty***
This position is based at our Manassas, 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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