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Entry Level Artificial Intelligence Engineer Jobs in Washington

DevOps Engineer

Chantilly, VA

$54 - $74/hr

... Engineer will leverage the latest industry DevOps tools and containerization processes to provide ... We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the ...

DevOps Engineer

Chantilly, VA · On-site

$54 - $74/hr

... Engineer will leverage the latest industry DevOps tools and containerization processes to provide ... We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the ...

Data Engineer

Washington, DC · On-site

$62K - $141K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

DevOps Engineer

Chantilly, VA · On-site

$54 - $74/hr

... Engineer will leverage the latest industry DevOps tools and containerization processes to provide ... We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the ...

Data Engineer

Alexandria, VA · On-site

$62K - $141K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

AI Engineer (Remote)

Fort Belvoir, VA · On-site

$99 - $225/hr

As an experienced engineer, you know that artificial intelligence (AI) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes ...

New

Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Showing results 41-60

Entry Level Artificial Intelligence Engineer information

See Washington salary details

$34K

$78.6K

$133.6K

How much do entry level artificial intelligence engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for entry level artificial intelligence engineer in Washington is $78,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $88,900.00 per year, depending on experience, location, and employer.

What is an entry level artificial intelligence engineer?

An Entry Level Artificial Intelligence Engineer is responsible for developing AI models, writing algorithms, and working with data to build intelligent systems. They typically assist in training machine learning models, optimizing performance, and integrating AI solutions into applications. This role requires knowledge of programming languages like Python, machine learning frameworks, and data processing techniques. Entry-level AI engineers often collaborate with data scientists and software engineers to improve AI functionalities. Employers usually look for candidates with a degree in computer science, engineering, or a related field, along with hands-on experience in AI projects.

What kind of projects or tasks does an entry level artificial intelligence engineer typically work on?

Entry Level Artificial Intelligence Engineers often assist with data collection and preprocessing, implement and test machine learning models, and support research or production teams in developing AI solutions. You may help analyze large datasets, tune model parameters, write scripts for automation, and contribute to code reviews or documentation. Collaboration is common, as you’ll often work closely with data scientists, senior AI engineers, and product managers to advance ongoing projects. These experiences provide a strong foundation for developing your technical skills and understanding how AI solutions are built and deployed in real business environments.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence engineer?

To thrive as an Entry Level Artificial Intelligence Engineer, you need a solid background in programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often demonstrated through a relevant degree or project experience. Familiarity with key AI frameworks such as TensorFlow or PyTorch, version control systems like Git, and optionally certifications like Google’s TensorFlow Developer Certificate are valuable assets. Strong problem-solving skills, curiosity, and the ability to collaborate and communicate clearly within teams will help you stand out. These competencies are crucial for contributing effectively to real-world AI projects, learning on the job, and advancing in this rapidly evolving field.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Washington?

The most popular types of Artificial Intelligence Engineer jobs in Washington are:

What are popular job titles related to Entry Level Artificial Intelligence Engineer jobs in Washington?

For Entry Level Artificial Intelligence Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Entry Level Artificial Intelligence Engineer jobs in Washington look for?

The top searched job categories for Entry Level Artificial Intelligence Engineer jobs in Washington are:

What cities in Washington are hiring for Entry Level Artificial Intelligence Engineer jobs?

Cities in Washington with the most Entry Level Artificial Intelligence Engineer job openings:

Infographic showing various Entry Level Artificial Intelligence Engineer job openings in Washington as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $78,559 per year, or $37.8 per hour.

Classified Infrastructure Systems Engineer

Enabled Intelligence

Falls Church, VA

$114K - $150K/yr

Full-time

Re-posted 20 days ago


Job description

Classified Infrastructure Systems Engineer

Location: Falls Church, VA

Enabled Intelligence

Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.

At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved! If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!

Classified Infrastructure Systems Engineer

The Classified Infrastructure Systems Engineer will provide on-site support to manage the Enabled Intelligence systems including desktops, physical servers, Kubernetes environments, and cloud-based platforms on both the unclassified and classified networks. This role includes close coordination with external Managed Service Providers, and requires deep knowledge and adherence to IT security policies.

Responsibilities

  • Ensure network security and data protection
  • Ensure compliance with industry/client regulations and standards
  • Complete recurring compliance activities required to maintain accreditation of classified networks
  • Manage Windows and Linux physical and virtual servers
  • Provision user accounts in accordance with security procedures
  • Maintain existing Kubernetes environments and ensure health of deployed applications
  • Provision and configure user workstations in support of onboarding new employees
  • Provide onsite deskside support for user issues
  • Develop and maintain baseline configurations for classified and unclassified desktops
  • Ensure desktop and server compliance with patch management policies
  • Coordinate with Managed Service Providers for system implementation of managed network components
  • Develop scripts and automations to minimize manual input of common tasks
  • Troubleshoot networking connectivity issues on all corporate networks
  • Support quarterly asset audits

Required Qualifications and Skills

  • Significant experience managing IT systems in SIPR, JWICS, and NIPR environments
  • Experience in managing compliance for connected classified networks
  • Ability to maintain on-prem CWAN, SCWAN, and stand-alone networks.
  • Experience in managing classified IT resources and networks supporting multiple DoD and IC client programs simultaneously
  • Ability to manage software ATO/SWaP submissions and processes
  • At least 3 years of experience managing Microsoft Windows Server operating systems
  • At least 3 years of experience managing Linux-based operating systems
  • Hands-on experience managing resources in Microsoft 365 environment
  • Experience deploying Kubernetes-based applications into Production
  • Active Top Secret Clearance (with eligibility to garner TS-SCI)
  • Ability to take initiative, ownership and problem solve in a dynamic environment
  • CompTIA Security+
  • Excellent problem solving and communication skills

Desired Qualifications and Skills

  • Hands-on experience with Rocky Linux
  • Technical proficiency with managed Windows desktops
  • Hands-on experience provisioning and managing workstations with Microsoft Intune and Autopilot
  • Hands-on experience managing firewall, switch, and router network devices
  • Hands-on experience supporting AWS environment
  • Active TS/SCI Clearance

Physical Requirements

  • Prolonged periods of sitting at a desk and working on a computer
  • Ability to lift 25lbs and set up workstations including monitors, desktop computers and hardware

Clearance

  • Applicants selected will be subject to a standard background check and are required to hold an active TS clearance, with eligibility to obtain at TS-SCI.

Work Location

  • Enabled Intelligence office in Falls Church, VA with some travel to client offices in National Capital Region and St. Louis, MO.

Enabled Intelligence is an Equal Opportunity Employer