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Ai Coding Trainer Jobs in Washington (NOW HIRING)

... training efforts to promote adoption of AI capabilities and best practices across the user ... code generation, refactoring, debugging, and automation (Codex, ClaudeCode) Company : We build ...

Secure use of AI coding assistants and code-review for AI-generated output Certifications / Training (suggested) * AI security coursework (e.g., AI security fundamentals, LLM red teaming labs) Salary ...

AI Platform Lead

Laurel, MD · On-site

$170K - $240K/yr

... training efforts to promote adoption of AI capabilities and best practices across the user ... for code generation, refactoring, debugging, and automation (Codex, ClaudeCode) Benefits of ...

AI Platform Lead

Laurel, MD · On-site +1

$170K - $240K/yr

... training efforts to promote adoption of AI capabilities and best practices across the user ... for code generation, refactoring, debugging, and automation (Codex, ClaudeCode) Benefits of ...

... pilot AI-powered improvements (prompt libraries, Gemini CLI/NotebookLM workbooks, retrieval templates, and Zapier automations); provide lightweight training. * Apply secure coding practices and ...

... pilot AI-powered improvements (prompt libraries, Gemini CLI/NotebookLM workbooks, retrieval templates, and Zapier automations); provide lightweight training. * Apply secure coding practices and ...

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Showing results 1-20

Ai Coding Trainer information

What is an AI Coding Trainer job?

An AI Coding Trainer is responsible for teaching and mentoring AI models in coding and software development. This role involves curating datasets, reviewing AI-generated code, and providing feedback to improve the model's accuracy and efficiency. AI Coding Trainers often work with large language models, ensuring they understand best coding practices, debugging techniques, and industry standards. Their goal is to enhance the AI's ability to assist programmers in writing, reviewing, and optimizing code.

What are some typical responsibilities of an AI Coding Trainer on a day-to-day basis?

As an AI Coding Trainer, your typical day may involve preparing and delivering interactive lessons or workshops on AI programming concepts, designing practical coding exercises, and providing individualized feedback to learners. You may also collaborate with curriculum developers to keep course content current and industry-relevant, and work closely with students to help troubleshoot technical challenges. Regularly assessing learner progress and adapting instruction methods to accommodate diverse learning styles are key parts of the role. This position often requires a mix of independent work and teamwork within a supportive educational or corporate training environment.

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

To thrive as an AI Coding Trainer, you need a strong foundation in programming languages (such as Python), machine learning concepts, and experience teaching technical subjects, often backed by a degree in computer science or a related field. Hands-on familiarity with development environments, AI frameworks (like TensorFlow or PyTorch), and professional certifications in AI or data science are highly valued. Excellent communication, patience, and the ability to convey complex ideas clearly are essential soft skills for this role. These skills are important because they ensure trainers can effectively support learners, adapt to different skill levels, and stay current in a rapidly evolving field.

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Infographic showing various Ai Coding Trainer job openings in Washington as of July 2026, with employment types broken down into 43% Full Time, 29% Part Time, and 28% Contract. Highlights an 100% In-person job distribution.
AI Coding Tools & Pilots Consultant

AI Coding Tools & Pilots Consultant

Ampcus Inc

Chantilly, VA • On-site

Full-time

Posted 15 days ago


Job description

Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. 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.
Responsibilities:
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
Qualifications:
Required:
• 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:
• 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.
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Ampcus logo

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