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Entry Level Ai Agent Jobs in Virginia (NOW HIRING)

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Entry Level Ai Agent information

What is the difference between Entry Level Ai Agent vs Data Analyst?

AspectEntry Level Ai AgentData Analyst
Required CredentialsBasic understanding of AI concepts, some certifications preferredBachelor's in Data Science, Statistics, or related field
Work EnvironmentTech companies, customer support, AI development teamsBusiness, finance, healthcare, and other industries
Employer & Industry UsageAI-focused roles in tech and startupsData-driven decision making across various sectors
Search & Comparison IntentUnderstanding entry-level AI rolesComparing AI-related roles with data analysis

Entry Level Ai Agents typically focus on supporting AI systems, understanding basic AI tools, and assisting in AI-related tasks. Data Analysts analyze data to generate insights and support decision-making. While both roles involve data and technology, Entry Level Ai Agents are more aligned with AI system support, whereas Data Analysts focus on data interpretation and reporting.

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

To thrive as an Entry Level AI Agent, you need a basic understanding of machine learning concepts, programming skills (often Python), and a relevant degree or coursework in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms such as AWS or Google Cloud is commonly required. Strong analytical thinking, curiosity, and effective communication help individuals learn quickly and collaborate on projects. These skills enable entry-level agents to contribute meaningfully to AI development, troubleshoot models, and integrate smoothly into technical teams.

What is an entry level AI agent?

Entry level AI agents are software programs or applications that use artificial intelligence to perform basic, repetitive, or straightforward tasks with minimal human supervision. These agents are designed to automate simple processes such as scheduling, responding to common queries, data entry, or basic customer support. They typically require less training or customization compared to more advanced AI systems and are often used by businesses to improve efficiency in everyday operations. Entry level AI agents can be found in chatbots, virtual assistants, and workflow automation tools. As technology evolves, their capabilities continue to expand, making them valuable assets in many industries.

How to start working on entry level AI agents?

To start working on entry level AI agents, gain foundational knowledge in programming languages like Python and understand basic machine learning concepts. Familiarize yourself with AI frameworks such as TensorFlow or PyTorch, and consider completing online courses or certifications to build relevant skills. Entry-level roles often require a strong understanding of data handling and problem-solving abilities.

What types of projects or tasks can an entry level AI agent expect to work on in their first year?

As an Entry Level AI Agent, you'll typically work on a variety of foundational tasks such as data preprocessing, model training, testing, and basic troubleshooting under the guidance of more experienced team members. You may assist in gathering and labeling data, running experiments, and evaluating model performance. Collaboration with data scientists, software engineers, and product managers is common, providing valuable exposure to the AI development lifecycle. This hands-on experience helps you build core technical and teamwork skills, setting the stage for more advanced responsibilities as you gain confidence and expertise.
What are the most commonly searched types of Ai Agent jobs in Virginia? The most popular types of Ai Agent jobs in Virginia are:
What are popular job titles related to Entry Level Ai Agent jobs in Virginia? For Entry Level Ai Agent jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Agent jobs in Virginia look for? The top searched job categories for Entry Level Ai Agent jobs in Virginia are:
Entry Level Ai Agent jobs near you
Infographic showing various Entry Level Ai Agent job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Federal AI Solutions Engineer (Entry Level)

A-TEK Inc.

Mclean, VA

$85K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 hours ago

Job description

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This role is ideal for recent graduates with a strong academic foundation in Artificial Intelligence, Machine Learning, software engineering, and cloud technologies who are eager to apply their skills to real-world federal mission challenges.

The engineer will work alongside senior architects and engineers to develop AI-enabled applications, cloud-native solutions, automation workflows, and rapid prototypes that support A-TEK's DigitalShift innovation initiatives.

This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role. This role requires the ability to obtain and retain a public trust level security clearance.

Key Responsibilities

AI Solution Development

  • Assist in the design, development, and deployment of AI-powered applications and prototypes using:
    • AWS Bedrock
    • Azure OpenAI
    • LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks
  • Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities.
  • Support integration of AI solutions with APIs, enterprise systems, and cloud services.

Cloud Engineering

  • Build and maintain cloud-based environments in AWS and Azure.
  • Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep.
  • Support containerized deployments using ECS, EKS, or AKS.
  • Participate in CI/CD implementation and cloud automation efforts.

Technical Support & Innovation

  • Support senior engineers in troubleshooting cloud, AI, and data integration challenges.
  • Assist in developing reusable templates, accelerators, and reference architectures.
  • Participate in rapid prototyping efforts that demonstrate mission value for federal customers.

Collaboration & Knowledge Sharing

  • Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams.
  • Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives.
  • Stay current with emerging AI, machine learning, and cloud technologies.

Security & Compliance

  • Support implementation of solutions that align with:
    • NIST AI Risk Management Framework (AI RMF)
    • FedRAMP requirements
    • Zero Trust principles
    • Secure coding and responsible AI practices

Required Qualifications

Education (Required)

Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field.

Experience

  • 0-2 years of professional software engineering, AI/ML, or cloud development experience.
  • Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience.
  • Demonstrated programming experience in Python through coursework, projects, internships, or employment.

Technical Skills

  • Foundational understanding of machine learning, generative AI, and large language models.
  • Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects.
  • Familiarity with:
    • REST APIs
    • Git version control
    • Containerization concepts
    • Data pipelines and databases
  • Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects.
  • Strong analytical and problem-solving skills.

Certifications

One of the following is preferred within the first year of employment:

  • AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
  • Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)

Preferred Qualifications

  • Academic or project experience with:
    • LangChain
    • LlamaIndex
    • Semantic Kernel
    • CrewAI
  • Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
  • Experience building AI, machine learning, or cloud-based capstone projects.
  • Familiarity with DevOps, MLOps, or CI/CD concepts.
  • Interest in federal government missions and emerging AI technologies.

Compensation

Salary Range

$85,000 - $105,000 annually

Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility.

Benefits

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off and Federal Holidays
  • Professional Development and Certification Reimbursement
  • Career Growth and Mentorship Opportunities

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