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Generative Ai Entry Level Jobs in Reston, VA (NOW HIRING)

Amazon

Associate Account Executive

Arlington, VA

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

Amazon

Associate Account Executive

Arlington, VA · On-site

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

Amazon

Associate Account Executive

Arlington, VA

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

Amazon

Associate Account Executive

Arlington, VA · On-site

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... explosion of generative AI, the opportunity has never been larger. You'll be at the forefront ...

Amazon

Associate Account Executive

Arlington, VA · On-site

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... explosion of generative AI, the opportunity has never been larger. You'll be at the forefront ...

Amazon

Associate Account Executive

Arlington, VA · On-site

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

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Generative Ai Entry Level information

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How much do generative ai entry level jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for generative ai entry level in Reston, VA is $23.38, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $25.77 per hour, depending on experience, location, and employer.

How to start a career in Generative AI?

To start a career in Generative AI, develop a strong foundation in programming languages like Python, learn machine learning and deep learning concepts, and gain experience with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects, staying updated with research, and obtaining relevant certifications can also improve job prospects in this field.

What types of projects do entry-level professionals in Generative AI typically work on, and how do they contribute to larger team goals?

As an entry-level professional in Generative AI, you may work on tasks such as data preprocessing, model training, and evaluating the performance of generative models. You'll often collaborate with researchers, data scientists, and software engineers to support more complex projects, such as developing new text or image generation tools. Your contributions help ensure data quality and model accuracy, and you may also assist in documenting results and preparing presentations. This collaborative environment allows you to learn from experienced colleagues while building foundational skills for future growth.

What are the key skills and qualifications needed to thrive as a Generative AI Entry Level professional, and why are they important?

To thrive as a Generative AI Entry Level professional, you need a basic understanding of machine learning concepts, Python programming, and a relevant degree such as computer science or data science. Familiarity with tools like TensorFlow, PyTorch, and version control systems, as well as exposure to cloud platforms, is typically expected. Strong problem-solving abilities, eagerness to learn, and the ability to communicate technical information clearly help individuals stand out in this role. These skills and qualities are crucial to effectively contribute to AI projects, adapt to rapidly evolving technologies, and collaborate within technical teams.

What does a Generative AI Entry Level professional do?

A Generative AI Entry Level professional assists in developing, training, and testing artificial intelligence models that can create new content, such as text, images, or audio. They often work with large datasets, help fine-tune AI models, and support more senior engineers in implementing machine learning algorithms. Typical tasks include data preprocessing, running experiments, evaluating model outputs, and documenting results. This role is ideal for those new to the AI field and looking to gain hands-on experience in generative technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions in tech companies. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership. Compensation at this level usually includes base salary, bonuses, and stock options, reflecting the value and impact of the position within the organization.

Are there any entry-level AI jobs?

Yes, there are entry-level AI jobs such as AI analyst, data labeler, and junior machine learning engineer. These roles often require foundational knowledge of programming, data analysis, and familiarity with AI tools like Python or TensorFlow, making them accessible to recent graduates or those new to the field.

How do I get a job in AI with no experience?

Entry-level AI roles, such as those involving generative AI, often require foundational skills in programming (Python is common), understanding of machine learning concepts, and familiarity with AI frameworks like TensorFlow or PyTorch. Gaining experience through online courses, tutorials, personal projects, and internships can help build a portfolio that demonstrates your abilities to employers.
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Generative Ai Entry Level jobs near you
Federal AI Solutions Engineer (Entry Level)

Federal AI Solutions Engineer (Entry Level)

A-TEK Inc.

Mclean, VA

$85K - $105K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days 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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