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Ai Coder Jobs in Virginia (NOW HIRING)

BTree Solutions, Inc.

SALESFORCE DEVELOPER (AI)

Mclean, VA · On-site

$56.50 - $74.75/hr

SALESFORCE DEVELOPER (AI) Location: Mclean,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD ... Code generation, refactoring, and documentation * Unit/integration test generation and improvement

SES

Sr. AI Platform Engineer

Centreville, VA · On-site

$103K - $142K/yr

About the Role We are looking for a Senior AI Platform Engineer to build the foundational ... The role will start with a focused 3 6 month mandate to enable coding agents, including GitHub ...

Bechtel

AI Solutions Engineer

Reston, VA · On-site

Establish and enforce AI coding standards and development best practices across the AI programme, ensuring consistent quality and maintainability of AI solutions. * Validate machine learning models ...

Bechtel

AI Solutions Engineer

Reston, VA

Establish and enforce AI coding standards and development best practices across the AI programme, ensuring consistent quality and maintainability of AI solutions. * Validate machine learning models ...

Remitly

AI Native Software Engineer

Arlington, VA · On-site

$124K - $155K/yr

You leverage AI coding agents to replace manual tasks, build and ship entire applications and basic agents end-to-end. You're a full-stack product builder who thinks in terms of "I need to solve this ...

Remitly

AI Native Software Engineer II

Arlington, VA · On-site

$144K - $180K/yr

You leverage AI coding agents to replace manual tasks, build and ship entire applications and basic agents end-to-end. You're a full-stack product builder who thinks in terms of "I need to solve this ...

Remitly

Senior AI Native Software Engineer

Arlington, VA · On-site

$180K - $225K/yr

You leverage AI coding agents to replace manual tasks, build and ship entire applications and basic agents end-to-end. You're a full-stack product builder who thinks in terms of "I need to solve this ...

Varsity Tutors

Vibe Coding Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

... Vibe Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Vibe Coding Tutor

Leesburg, VA · Remote

$18 - $40/hr

... Vibe Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Vibe Coding Tutor

Alexandria, VA · Remote

$18 - $40/hr

... Vibe Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Ai Coder information

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$15

$27

$43

How much do ai coder jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for ai coder in Virginia is $27.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $34.33 per hour, depending on experience, location, and employer.

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are the key skills and qualifications needed to thrive as an AI coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

How do you become an AI coder?

To become an AI coder, you typically need a strong foundation in programming languages such as Python or Java, along with knowledge of machine learning frameworks like TensorFlow or PyTorch. Earning a degree in computer science, data science, or a related field and gaining experience through projects or internships are common steps. Developing skills in algorithms, data structures, and mathematics is also essential for working effectively in AI development.

How much do AI coders make?

AI coders, also known as artificial intelligence programmers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or large companies.

What are popular job titles related to Ai Coder jobs in Virginia?

For Ai Coder jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Coder jobs in Virginia look for?

The top searched job categories for Ai Coder jobs in Virginia are:

What cities in Virginia are hiring for Ai Coder jobs?

Cities in Virginia with the most Ai Coder job openings:

Ai Coder jobs near you
Infographic showing various Ai Coder job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $56,691 per year, or $27.3 per hour.

AI Coding Tools & Pilots Consultant

Chantilly, VA • On-site

Ampcus
IT Services • 1 - 5K employees
Learn more about Ampcusexternal

Other

Re-posted 20 days ago

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: AI Coding Tools & Pilots Consultant

Location(s): Chantilly, VA

Job Summary:

We are seeking an experienced consultant to support the organization's AI transformation initiatives by driving the evaluation, deployment, adoption, and optimization of AI-powered coding tools and pilot programs. This role will serve as a bridge between engineering teams, AI platform teams, business stakeholders, and program leadership to ensure successful implementation and scaling of AI development solutions.

The ideal candidate will possess expertise in AI coding assistants, software development practices, platform evaluation, DevSecOps, user enablement, and pilot execution, with a strong focus on accelerating developer productivity and enterprise AI adoption.

Key Responsibilities:
  • AI Coding Tools Evaluation & Implementation
    • Evaluate AI-powered coding tools and developer productivity platforms for enterprise adoption.
    • Configure, deploy, and optimize AI coding assistants within development environments.
    • Assess tool capabilities, security requirements, integration options, and business value.
    • Support implementation of AI coding solutions across multiple engineering teams.
    • Define best practices and standards for AI-assisted software development.
  • AI Pilot Program Management
    • Lead proof-of-concepts (POCs), pilot programs, and technology assessments for emerging AI solutions.
    • Develop pilot objectives, success criteria, evaluation frameworks, and adoption strategies.
    • Monitor pilot performance and provide recommendations for scaling or improvement.
    • Document lessons learned, risks, and implementation recommendations.
    • Partner with stakeholders to identify and prioritize AI use cases.
  • Developer Enablement & Adoption
    • Support onboarding of developers and technical teams to AI coding tools.
    • Deliver demonstrations, workshops, training sessions, and knowledge-sharing activities.
    • Develop user guides, best practices, FAQs, and enablement materials.
    • Promote effective prompt engineering and AI-assisted development techniques.
    • Drive user adoption through engagement, support, and continuous improvement initiatives.
  • Platform Configuration & DevSecOps Support
    • Configure AI platforms, integrations, APIs, and supporting infrastructure.
    • Collaborate with DevOps and security teams to implement AI solutions within enterprise environments.
    • Support CI/CD integration, automation, access management, and governance controls.
    • Ensure AI tools comply with organizational security, privacy, and compliance requirements.
    • Participate in platform monitoring, maintenance, and operational support activities.
  • Release & Operational Support
    • Assist with release planning, deployment validation, and production readiness activities.
    • Troubleshoot platform, integration, and user issues related to AI tools and pilot environments.
    • Coordinate with vendors and internal support teams to resolve escalated issues.
    • Monitor adoption metrics, tool performance, and user feedback.
  • Governance & Continuous Improvement
    • Support AI governance initiatives, responsible AI practices, and risk management activities.
    • Develop standards, processes, and operational procedures for AI tool usage.
    • Identify opportunities to improve developer productivity, automation, and AI adoption.
    • Contribute to enterprise AI strategy and roadmap discussions.
Required Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related field.
  • 5 years of experience in software engineering, developer enablement, platform engineering, DevOps, AI consulting, or related technical roles.
  • Experience evaluating and implementing developer productivity tools and enterprise software platforms.
  • Hands-on experience with AI coding assistants and Generative AI technologies.
  • Strong understanding of software development lifecycle (SDLC), Agile methodologies, and DevSecOps practices.
  • Experience with cloud platforms (AWS, Azure, Google Cloud) and modern development environments.
  • Excellent communication, stakeholder management, and consulting skills.
Preferred Qualifications:
  • Experience with AI coding platforms such as GitHub Copilot, Cursor, Amazon Q, Codeium, Windsurf, or similar tools.
  • Familiarity with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and AI governance frameworks.
  • Experience leading technology pilots, proof-of-concepts, or innovation programs.
  • Knowledge of CI/CD, Infrastructure as Code (IaC), containerization, and cloud-native technologies.
  • AI, Cloud, DevOps, or Security certifications preferred.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.

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About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004

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