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Entry Level Ai Engineer Jobs in Virginia (NOW HIRING)

Targeted Victory

Junior AI Engineer

Arlington, VA

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us remain on the cutting edge. This role is suited to individuals who enjoy working on complex ...

Targeted Victory

Junior AI Engineer

Arlington, VA · On-site

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us remain on the cutting edge. This role is suited to individuals who enjoy working on complex ...

Targeted Victory

Junior AI Engineer

Arlington, VA · On-site

Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us remain on the cutting edge. This role is suited to individuals who enjoy working on complex problems ...

CGI Inc.

Software Developer - Entry Level

Fairfax, VA · On-site

You'll gain hands-on experience with modern development practices and AI-enabled workflows while ... What You'll Bring • Bachelor's degree in Computer Science, Software Engineer or related field • ...

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Entry Level Ai Engineer information

See Virginia salary details

$29.7K

$68.8K

$117K

How much do entry level ai engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for entry level ai engineer in Virginia is $68,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $77,800.00 per year, depending on experience, location, and employer.

What does an entry level AI engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.

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

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

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

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

Can you be an entry level AI engineer with no experience?

Entry level AI engineer positions often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is not always mandatory, demonstrating skills through projects, certifications, or coursework can improve chances of securing an entry level role.

Is AI taking entry level AI engineering jobs?

Entry level AI engineering jobs are growing as demand for AI skills increases, but competition remains high. Success in these roles typically requires knowledge of programming languages like Python, familiarity with machine learning frameworks, and a strong foundation in mathematics. Entry-level positions often focus on data preprocessing, model training, and assisting senior engineers.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is typically considered an entry-level job, suitable for candidates with limited professional experience in AI, machine learning, or related fields. These roles often require foundational skills in programming, data analysis, and basic understanding of AI tools and frameworks. They are designed to provide on-the-job training and skill development for newcomers to the field.

What are the most commonly searched types of Ai Engineer jobs in Virginia?

The most popular types of Ai Engineer jobs in Virginia are:

What are popular job titles related to Entry Level Ai Engineer jobs in Virginia?

For Entry Level Ai Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Engineer jobs in Virginia look for?

The top searched job categories for Entry Level Ai Engineer jobs in Virginia are:

What cities in Virginia are hiring for Entry Level Ai Engineer jobs?

Cities in Virginia with the most Entry Level Ai Engineer job openings:

Entry Level Ai Engineer jobs near you
Infographic showing various Entry Level Ai Engineer job openings in Virginia as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $68,767 per year, or $33.1 per hour.

Junior AI Engineer

Targeted Victory

Arlington, VA

Full-time

Re-posted 10 days ago

Job description

About Us

Targeted Victory is a full-service marketing agency providing optimized outcomes in the digital age. We are made up of fresh thinking, curious minded, supportive, and team oriented individuals. Our clients, including national political and international decision makers, count on our team of top strategists to provide comprehensive solutions and strategic counsel on public affairs, advertising, media planning, fundraising and reputation management.

We have collectively raised our clients more than $1.95 billion in online fundraising, managed over $395 million in digital advertising, delivered over 24 billion emails and 7.5 billion text messages, and have sold and fulfilled over 3.5 million units of merchandise.

Targeted Victory is the proud recipient of the Washington Post Top Workplaces for 2025, 2023, and 2022, Reed Award for Best Employer in 2022, and the Campaign Tech Award for Best Employer in 2021.

Overview

Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us remain on the cutting edge. This role is suited to individuals who enjoy working on complex problems, are creative thinkers, and thrive in a flat hierarchy. This position is based in Arlington, VA and will report to one of the team's experienced AI engineers, with direct mentorship from the company's tech leadership.

Responsibilities
  • Implement, maintain, and optimize core data pipelines
  • Identify new opportunities to use AI/ML technology to improve client fundraising and internal company efficiency
  • Become proficient in Targeted Victory's data systems and workflows
  • Work across teams to track performance, test strategies, and provide strategic insights that aid informed decision making and grow the company's analytical reach
  • Work on critical AI and non-AI ad hoc data projects as necessary
  • Handle multiple projects at once while meeting deadlines and performance expectations
  • Think outside the box and experiment with new approaches to political and fundraising data
Qualifications
  • Bachelor's degree preferred
  • 1-2+ years of relevant experience, including but not limited to: AI/ML development, computer science, data science, statistics
  • Proficient in SQL and Python
  • Familiarity with Snowflake, Databricks, LLM-based app development, RAG, multi-model routing, CI/CD pipelines, and/or building agentic workflows is a plus
  • Team player with a no-task-too small approach to the role
  • Willing to learn new skills
  • High attention to detail and organization 
  • Self-starter with a proactive, collaborative work ethic
  • Able to thrive in a fast-paced environment
  • Exhibits professionalism, particularly in executive and external communications
Employment Type: OTHER

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