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Entry Level Artificial Intelligence Engineer Jobs in Washington

Beyond SOF

AI Engineer

Washington, DC · On-site +1

The AI Engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems. Main Responsibilities and duties: Develop and implement artificial ...

Beyond SOF

AI Engineer

Washington, DC · On-site

$120 - $160/hr

Role Summary The AI Engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems. Main Responsibilities and duties * Develop and implement ...

Sargent & Lundy

Entry Level Civil Engineer

Elkridge, MD · On-site

$62K - $90K/yr

Description This entry-level position will offer you the opportunity to utilize and expand your ... Science, Artificial Intelligence, Software Engineering, or related fields that helps you apply ...

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Entry Level Artificial Intelligence Engineer information

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$34K

$78.6K

$133.6K

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

As of Sep 5, 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:

Entry Level Artificial Intelligence Engineer jobs near you
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.

Artificial Intelligence/Machine Learning System Analyst

SanKar Inc

Woodbridge, VA • On-site

Other

Posted 10 days ago

Job description

Position:  Artificial Intelligence/Machine Learning system Analyst 
Location: - Woodbridge, VA 22192 (Hybrid)
Type: - Contract to hire
Job Description
 
Client is seeking a highly motivated System Analyst to join the Data Management team. In this role, the ideal candidate will work closely with the Information and Business Analytics team, stakeholders and subject-matter experts to build machine learning (ML) models, artificial intelligence (AI) solutions, configure data pipelines to integrate models with existing software and applications, and drive innovation in alignment with the organization’s AI initiatives, as well as have experience collecting stakeholder requirements, translating requirements into an actionable plan and developing data visualizations using tools like Microsoft PowerBI. The ideal candidate will have a strong foundation in data science, proficiency in machine learning frameworks, data visualizing frameworks and have experience in developing ML models and AI agents using Python, as well as being familiar with the Microsoft Azure environment
 
Position Responsibilities
 
  • Design, build and optimize machine learning models and configure data pipelines to source data from various business systems.
  • Collaborate with functional experts to understand requirements and translate them into  technical solutions.
  • Develop and deploy models in production environments.
  • Monitor and maintain deployed models to ensure accuracy, performance and reliability.
  • Work with datasets and cloud platforms to build efficient data pipelines.
  • Stay current with the latest research and trends in AI/ML and incorporate relevant findings into the development process.
  • Write clean, maintainable and well-documented code following software engineering best practices.
  • Participate in code reviews, design discussions and team collaborations to improve overall software quality.
  • Develop and maintain reports based on stakeholders’ requirements by using Power BI  application.
  • Support self-service dashboards across the organization.
  • Assist in the configuration and management of Dell Boomi integrations, database/system  connections.
  • Perform other related duties and activities, as needed.
 
Required Skills
  • Bachelor’s degree in Data Science or a related field. Master’s degree preferred.
  • 2+ years of experience in AI/ML development, including model design, training and deployment.
  • Proficiency in Python and experience with ML libraries such as Pandas, NumPy, NLTK, SciPy, Matplotlib, Seaborn, TensorFlow, PyTorch, JobLib, Jupyter Notebook, scikit-learn or similar.
  • Knowledge of Azure subscription, Azure Machine Learning workspace and Azure App Services.
  • Experience with GitHub for codes version controls.
  • Experience with databases like MySQL, PostgreSQL, etc.
  • Knowledge of RESTful APIs and microservices architecture.
  • Familiarity with server-side security best practices and implementation.
  • Excellent problem-solving skills and ability to work in a collaborative, fast-paced environment.
  • Strong communication skills and the ability to translate complex concepts into clear solutions.
 
Physical Demands and work environment:
The physical demands and work environment characteristics described here are representative of those
that must be met by an employee to successfully perform the essential functions of this job. Reasonable
accommodation may be made to enable individuals with disabilities to perform the essential functions.
 
Physical demands: The work is mostly sedentary with periods of light physical activity. Typical
positions require workers to stand for short periods; lift and carry up to 20 pounds; climb stairs,
bend, reach, hold, grasp, and turn objects; and operate computer or typewriter
keyboards. Work requires the ability to speak normally and to use normal or aided vision and
hearing.
 
Work environment: Primary work is performed indoors in a standard office seeing. The noise
level in the work environment is usually moderate. Work is subject to frequent interruptions.
The qualifications listed above are intended to represent the minimum skills and experience levels
associated with performing the duties and responsibilities contained in this job description. The
qualifications do not express absolute employment or promotional standards - they are general
guidelines that should be considered along with the job-related selection or promotional criteria.

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