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Entry Level Ai Developer Jobs in Virginia (NOW HIRING)

Targeted Victory

Junior AI Engineer

Arlington, VA · Hybrid

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 · Hybrid

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 ...

RoviSys

Entry Level Engineer/Developer

Manassas, VA · On-site

$80K - $82K/yr

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

RoviSys

Entry Level Engineer/Developer

Manassas, VA

$80K - $82K/yr

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

RoviSys

Entry Level Engineer/Developer

Manassas, VA

$80K - $82K/yr

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

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All JobsEntry Level Ai Developer JobsEntry Level Ai Developer Jobs in Virginia

Entry Level Ai Developer information

See Virginia salary details

$29.2K

$99.4K

$239.4K

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

As of Jun 22, 2026, the average yearly pay for entry level ai developer in Virginia is $99,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $105,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level AI Developer, and why are they important?

To thrive as an Entry Level AI Developer, you need a solid grasp of programming languages like Python, foundational knowledge in mathematics and statistics, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and cloud platforms is typically expected. Strong problem-solving skills, teamwork, and a willingness to learn are crucial soft skills for this role. These competencies enable you to contribute effectively to AI projects, adapt to evolving technologies, and collaborate well with multidisciplinary teams.

What types of projects and tasks can an Entry Level AI Developer expect to work on in their first year?

As an Entry Level AI Developer, you can expect to work on a variety of foundational tasks such as data preprocessing, implementing and testing machine learning models, and supporting senior developers with code maintenance. You may be involved in gathering and cleaning data, conducting exploratory data analysis, and assisting with model evaluation and performance tuning. Collaboration with data scientists, engineers, and product teams is common, as you’ll help integrate AI solutions into existing systems or applications. This hands-on experience is valuable for building technical skills and understanding the full AI development lifecycle.

What does an Entry Level AI Developer do?

An Entry Level AI Developer assists in designing, developing, and implementing artificial intelligence models and systems under the guidance of senior engineers. Their responsibilities often include data preprocessing, coding algorithms, testing AI solutions, and collaborating with cross-functional teams. They typically work with programming languages like Python, utilize machine learning libraries, and help improve model accuracy. This role provides foundational experience for building a career in AI and machine learning.

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

AspectEntry Level Ai DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming languages like PythonBachelor's in Statistics, Math, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, AI startups, R&D departmentsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageDevelop AI models, machine learning algorithms, and automation toolsAnalyze data trends, generate reports, and support decision-making

While both roles require strong analytical skills and programming knowledge, Entry Level Ai Developers focus on creating AI models and algorithms, often in tech-driven environments. Data Analysts interpret data to inform business decisions, working across various industries. The roles overlap in data handling and technical skills but differ in their core objectives and tools used.

What are the most commonly searched types of Ai Developer jobs in Virginia? The most popular types of Ai Developer jobs in Virginia are:
What are popular job titles related to Entry Level Ai Developer jobs in Virginia? For Entry Level Ai Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Developer jobs in Virginia look for? The top searched job categories for Entry Level Ai Developer jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Ai Developer jobs? Cities in Virginia with the most Entry Level Ai Developer job openings:
Entry Level Ai Developer jobs near you
AI Engineer - Entry Level

AI Engineer - Entry Level

Centennial Technologies Inc

Vienna, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Job Type
Full-time
Description
Centennial Technologies is seeking talented and motivated AI Engineer with good technical expertise in modern AI frameworks and workflows. This role will focus on designing, developing, and deploying advanced AI models and intelligent systems to solve complex problems in healthcare, and financial domains. The ideal candidate has some hands-on experience deploying AI and workflow solutions and can translate research into production-ready solutions.
Requirements
Key Responsibilities:
  • Design, build, and deploy workflows using n8n and integrate with backend systems.
  • Deploy models into production environments using APIs, microservices, and cloud-native platforms.
  • Design, develop, and train learning models for NLP and predictive analytics.
  • Implement and optimize models using Python, PyTorch, and related frameworks
  • Monitor, evaluate, and improve model performance, scalability, and reliability.
  • Research and experiment with state-of-the-art AI/ML methods (LLMs, transformers, generative AI).
  • Collaborate with cross-functional teams to integrate AI capabilities into applications and workflows.
  • Document model architectures, experiments, and workflows to ensure reproducibility.
  • Ensure AI solutions adhere to data privacy, compliance, and ethical AI practice.

Key Qualifications:
  • 0-2 years of experience in AI or related field
  • Bachelor's degree in computer science, Data Science, AI/ML, or related technical field (Master's preferred).
  • Any experience using n8n/ Temporal workflow automation platforms is a BIG plus
  • Expertise in programming languages such as Python, big data technologies (e.g., Spark, Hadoop) and data manipulation libraries (e.g., Pandas, NumPy).
  • Solid knowledge of classical ML algorithms, deep learning architectures, and modern AI techniques, large language models (LLMs), generative AI, and reinforcement learning.
  • Any hands-on experience with Microsoft technologies, including Azure cloud platform and Azure OpenAI building, training and deploying models is a BIG plus.
  • Strong understanding of software engineering best practices (Git, CI/CD)

Preferred Qualifications:
  • Prior experience in healthcare, regulatory technology, or enterprise automation is a plus.
  • Knowledge of data governance, security, and compliance frameworks (HIPAA, GDPR, FedRAMP) is a plus
  • Experience with MLOps tools (MLflow, Kubeflow, Weights & Biases, etc.) is a plus
  • Contributions to open-source AI projects or research publications is a plus
  • Familiarity with containerization and orchestration (Docker, Kubernetes) is a plus

Work Conditions
  • Location: Hybrid - At least 4 days onsite in Tysons Corner, VA.
  • Job Type: Full-time

About Centennial Technologies Inc.:
Centennial Technologies Inc. is committed to a healthy work-life balance and provides a collaborative and supportive professional environment. We offer flexible PTO, casual work culture, and regular opportunities for career advancement and skills development.
Benefits and Perks
• Medical and Vision Insurance - Centennial covers 80% of employee and family premium costs, making high-quality healthcare affordable for you and your loved ones.
• Dental Insurance - 100% employer-paid coverage for employees.
• Short-Term and Long-Term Disability Insurance - Fully employer-paid, providing financial security and peace of mind.
• Life Insurance - Company-paid coverage to support you and your family.
• 401(k) Retirement Plan with Employer Match - A competitive retirement plan with employer matching to support your long-term financial goals.
• Paid Time Off & Federal Holidays - A generous paid time off program and 11 paid federal holidays to support balance and time to recharge.
• Metro Reimbursement - Transportation benefits to help offset commuting costs and make commuting more affordable.
Centennial offers a highly competitive benefits package that protects your family, rewards your future, and supports your work-life balance.
Work Environment and Culture
• Collaborative, respectful, and inclusive culture.
• Direct access to leadership and decision-makers.
• Opportunity to work on high-impact federal modernization programs.
• Recognition programs for outstanding performance and innovation.
Technology and Innovation
• Exposure to cutting-edge technologies (AI, cloud, data, automation, cybersecurity).
• Opportunities to contribute to proprietary platforms and innovation labs.
• Modern tools and environments that support productivity and creativity.
Why Employees Love Working at Centennial
• Small business agility with enterprise-level impact.
• Your ideas are heard and implemented.
• You see the real-world impact of your work in government programs that matter.
• Strong values: professionalism, focus, integrity, trust, innovativeness, and excellence.
Equal Opportunity Employer:
Centennial is an equal opportunity employer and complies with all applicable federal, state, and local employment laws

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