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Intern Ai Coding Trainer Jobs in Virginia (NOW HIRING)

Appian

Software Engineering Intern

Mclean, VA

$8.6K/mo

Engineer with AI: Use AI coding tools as a learning and productivity multiplier-generating ... Training and Development: During onboarding, we focus on equipping new hires with the skills and ...

Appian

Software Engineering Intern

Mclean, VA · On-site

$8.6K/mo

Engineer with AI: Use AI coding tools as a learning and productivity multiplier-generating ... Training and Development: During onboarding, we focus on equipping new hires with the skills and ...

Bechtel

AI Solutions Engineer

Reston, VA · On-site

Establish and enforce AI coding standards and development best practices across the AI programme, ... Provide technical training, guidance, and coaching to the AI Program Team to build internal ...

Bechtel

AI Solutions Engineer

Reston, VA

Establish and enforce AI coding standards and development best practices across the AI programme, ... Provide technical training, guidance, and coaching to the AI Program Team to build internal ...

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Intern Ai Coding Trainer information

What is an Intern AI Coding Trainer?

Intern AI Coding Trainers are individuals, typically students or recent graduates, who assist in teaching and developing artificial intelligence (AI) and programming skills, often as part of an internship program. They may help design coding exercises, provide feedback to learners, and support classroom or online instruction. Their role often involves learning on the job while contributing to educational projects and gaining experience in both AI and teaching methodologies.

What are the key skills and qualifications needed to thrive as an Intern AI Coding Trainer?

To thrive as an Intern AI Coding Trainer, you need a solid understanding of programming languages (such as Python), foundational knowledge in machine learning concepts, and preferably progress toward a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong communication, patience, and the ability to explain complex technical concepts simply are crucial soft skills for this role. These skills ensure effective training delivery, foster learner engagement, and contribute to the successful development of AI skills in trainees.

How does an Intern AI Coding Trainer typically collaborate with senior engineers and learners during a project?

As an Intern AI Coding Trainer, you will often act as a bridge between senior engineers and learners by assisting with coding workshops, answering technical questions, and helping to create or refine training materials. You'll collaborate with senior engineers to understand project requirements and teaching strategies, while also providing learners with hands-on support and feedback. This role offers a dynamic environment where you can develop both your technical and communication skills, and gain valuable insight into AI project workflows.

What is the difference between Intern Ai Coding Trainer vs Intern Data Science Intern?

AspectIntern Ai Coding TrainerIntern Data Science Intern
Required CredentialsBasic programming knowledge, coursework in AI or codingBasic programming, statistics, or data analysis coursework
Work EnvironmentTech companies, educational platforms, AI startupsData-driven companies, research labs, tech firms
Employer & Industry UsageUsed in AI-focused roles, coding bootcamps, online educationCommon in data analysis, research projects, analytics teams

Intern Ai Coding Trainers typically focus on teaching and guiding students or junior developers in AI coding skills, often within educational or tech environments. Intern Data Science Interns work on data analysis, modeling, and research tasks. While both roles require programming knowledge, the AI Coding Trainer emphasizes teaching and training, whereas the Data Science Intern focuses on data-driven project work.

What are the most commonly searched types of Ai Coding Trainer jobs in Virginia?

The most popular types of Ai Coding Trainer jobs in Virginia are:

What cities in Virginia are hiring for Intern Ai Coding Trainer jobs?

Cities in Virginia with the most Intern Ai Coding Trainer job openings:

Intern Ai Coding Trainer jobs near you

AI Coding Tools & Pilots Consultant

Chantilly, VA • On-site

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

Other

Re-posted 18 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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