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Aws Intern Jobs in Springfield, VA (NOW HIRING)

Interon IT Solutions

GenAI Intern

Chantilly, VA · On-site

Job Title- Generative AI Engineer / GenAI Intern Product Development | Interon IT Solutions ... Build LLM-powered applications using platforms such as OpenAI, Azure OpenAI, AWS Bedrock, Anthropic ...

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Sedaro

DevOps Intern

Arlington, VA · On-site

$35 - $50/hr

Overview Sedaro is hiring a Software Engineer Intern to contribute to our culture of operational ... Experience with AWS and/or Azure

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How much do aws intern jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for aws intern in Springfield, VA is $17.79, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $20.10 per hour, depending on experience, location, and employer.

What is an AWS intern?

An AWS Intern is a temporary role designed for students or entry-level professionals to gain hands-on experience with Amazon Web Services (AWS). Interns typically work on cloud-based projects, learning about AWS infrastructure, services, and best practices. Responsibilities may include developing cloud solutions, assisting with migrations, or optimizing cloud performance. This role provides valuable exposure to cloud computing, networking, and security, preparing interns for future careers in cloud engineering or DevOps.

What do AWS interns do?

As an AWS Intern, you can expect to assist with designing, implementing, and optimizing cloud-based solutions under the supervision of experienced engineers. Projects may include automating infrastructure deployment using AWS tools, analyzing cloud performance metrics, supporting software migrations to AWS, or contributing to security and compliance tasks. You will typically work closely with cross-functional teams, such as DevOps, software developers, and project managers, gaining exposure to real-world applications of AWS technologies. This hands-on environment not only builds your technical abilities but also helps you develop teamwork and communication skills valued in the cloud computing industry.

What skills and qualifications are needed to thrive as an AWS intern?

To thrive as an AWS Intern, you need a solid understanding of cloud computing fundamentals, basic programming skills (such as Python, Java, or Node.js), and familiarity with networking concepts, often supported by coursework in computer science or related fields. Hands-on experience with AWS services like EC2, S3, Lambda, and an AWS Cloud Practitioner certification can be advantageous. Strong problem-solving abilities, a willingness to learn, effective communication, and teamwork are important soft skills. These skills help interns contribute to cloud-based projects, quickly adapt to new technologies, and work efficiently within dynamic technical teams.

What are the most commonly searched types of Aws jobs in Springfield, VA?

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Aws Intern jobs near you
Infographic showing various Aws Intern job openings in Springfield, VA as of August 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $37,013 per year, or $17.8 per hour.

GenAI Intern

Interon IT Solutions

Chantilly, VA • On-site

Full-time

Posted 3 days ago

New

Job description

Job Title- Generative AI Engineer / GenAI Intern

Product Development | Interon IT Solutions

Location: Chantilly, Virginia — Onsite

Experience: 1–5 years; internship and entry-level candidates considered

Employment: Full-time / Internship

Work Authorization: U.S. Citizen or Green Card holder

Department: Product Development / AI Engineering

About the Role

Interon IT Solutions is seeking a hands-on Generative AI Engineer or GenAI Intern to help build AI-powered enterprise and healthcare products. You will work with product and engineering teams to take practical AI use cases from concept and prototyping through development, testing, deployment, and continuous improvement.

The ideal candidate enjoys building real applications with LLMs, Retrieval-Augmented Generation (RAG), AI agents, APIs, and cloud technologies—not simply experimenting with prompts or AI tools.

Key Responsibilities
  • Design, develop, test, and enhance Generative AI features for Interon products.
  • Build LLM-powered applications using platforms such as OpenAI, Azure OpenAI, AWS Bedrock, Anthropic, or similar services.
  • Develop RAG solutions using enterprise documents and structured or unstructured data.
  • Build AI agents and agentic workflows with tool calling, context management, and multi-step automation.
  • Implement prompt engineering, structured outputs, grounding, guardrails, and response-quality controls.
  • Design retrieval systems using embeddings, vector search, semantic search, and hybrid search.
  • Develop backend APIs and microservices with Python, FastAPI, Node.js, or comparable frameworks.
  • Integrate AI capabilities with enterprise applications, databases, APIs, and business workflows.
  • Support AI-powered web applications using React, TypeScript, or modern frontend frameworks.
  • Evaluate LLM applications for accuracy, relevance, hallucinations, latency, security, and cost.
  • Implement testing, logging, monitoring, observability, and evaluation processes for GenAI applications.
  • Deploy and operate AI applications using AWS and/or Azure services.
  • Participate in Git-based development, code reviews, CI/CD, technical documentation, and collaboration with product owners and business teams.
  • Research emerging GenAI technologies and recommend practical applications for Interon products.
Required Qualifications
  • 1–5 years of experience in software development, AI/ML, data engineering, or a related technical field. For internship or entry-level candidates, academic projects, internships, hackathons, or independently developed applications may substitute for professional experience.
  • Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related field.
  • Strong Python programming skills and working knowledge of REST APIs, JSON, databases, and backend development.
  • Understanding of Generative AI, LLMs, embeddings, prompt engineering, RAG, and AI application design.
  • Experience or project exposure with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks.
  • Familiarity with SQL, relational databases, Git/GitHub, and modern software development practices.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Ability to learn new AI technologies quickly and work onsite in Chantilly, Virginia.
  • Must be a U.S. Citizen or U.S. Permanent Resident (Green Card holder).
Preferred Qualifications
  • Azure AI Foundry or Azure OpenAI
  • AWS Bedrock or OpenAI APIs
  • Agentic AI, LangGraph, or multi-agent workflows
  • RAG architecture, vector databases, PostgreSQL/pgvector, or Azure AI Search
  • React, TypeScript, or FastAPI
  • AWS Lambda, API Gateway, S3, RDS, or related cloud services
  • Docker, GitHub Actions, CI/CD, AI evaluation, or observability
  • Healthcare technology, HR technology, workflow automation, or enterprise SaaS
Potential Product Initiatives

The selected candidate may contribute to production-oriented solutions such as:

  • AI-powered HR and recruiting solutions
  • Candidate and resume matching
  • Enterprise knowledge assistants and RAG applications
  • AI agents for business workflow automation
  • Healthcare workflow and administrative automation
  • Document intelligence and information extraction
  • Prior authorization and payer knowledge solutions
  • AI-powered analytics and decision-support capabilities
What We Value

We value candidates who can demonstrate what they have built. A GitHub portfolio, working prototype, hackathon project, or independently developed application involving RAG, AI agents, LLM integrations, semantic search, workflow automation, API development, or cloud-based AI will be a strong advantage.