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Entry Level Ai Developer Jobs in Washington (NOW HIRING)

... in AI, data engineering, blockchain, and cloud-native software application development." We are looking for an Entry-Level Software Engineer to join our growing team! As a member of our dynamic and ...

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow ...

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow ...

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

This role is designed for high-potential engineers and technologists looking to grow into senior ... Exposure to generative AI, agentic AI, AIOps, zero trust, or other emerging technologies through ...

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

This role is designed for high-potential engineers and technologists looking to grow into senior ... Exposure to generative AI, agentic AI, AIOps, zero trust, or other emerging technologies through ...

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

This role is designed for high-potential engineers and technologists looking to grow into senior ... Exposure to generative AI, agentic AI, AIOps, zero trust, or other emerging technologies through ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Ai Developer information

See Washington salary details

$33.4K

$113.6K

$273.5K

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

As of Jul 15, 2026, the average yearly pay for entry level ai developer in Washington is $113,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $120,100.00 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 Washington? The most popular types of Ai Developer jobs in Washington are:
What cities in Washington are hiring for Entry Level Ai Developer jobs? Cities in Washington with the most Entry Level Ai Developer job openings:
Infographic showing various Entry Level Ai Developer job openings in Washington as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $113,560 per year, or $54.6 per hour.

Full-time

Posted 19 days ago


Job description

"SZNS Solutions (pronounced "seasons") is a technology consulting company and Google Cloud Partner based in Reston VA. We specialize in delivering agentic AI and cloud computing solutions. Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application development."

We are looking for an Entry-Level Software Engineer to join our growing team! As a member of our dynamic and fast-paced environment, you'll have the opportunity to contribute to exciting projects in cloud computing, web3, and decentralized technologies. You will work alongside talented engineers, learning from experienced professionals while helping to build innovative solutions for our clients and internal initiatives.

Responsibilities
  • End-to-End Development: Design, develop, and deploy full-stack solutions for web-based, decentralized, and cloud-native platforms.
  • Frontend Excellence: Build intuitive and responsive user interfaces using modern JavaScript frameworks like React, Vue, or NextJS.
  • Backend Development: Implement server-side logic using Node.js, Python, or a similar backend framework.
  • Database Management: Design and manage relational (e.g., PostgreSQL, MySQL) and/or NoSQL (e.g., MongoDB) databases.
  • Cloud Development: Design and deploy infrastructure on cloud services, mainly Google Cloud Platform.
  • API Integration: Develop and consume RESTful or GraphQL APIs to connect different components of the ecosystem.
  • Decentralized Technologies: Work with blockchain and smart contract technologies to create Web3 solutions.
  • Collaboration: Work closely with designers, project managers, and other engineers to meet project goals.
  • Code Quality: Ensure the quality of code through testing, peer reviews, and maintaining clear documentation.

Requirements

  • Experience: 1+ years of professional experience in full-stack development, or a recently earned degree in Computer Science, Engineering, or a related field.
  • Frontend Expertise: Familiarity with JavaScript and modern frameworks (React, Vue, NextJS, etc.).
  • Backend Proficiency: Exposure to backend languages like Node.js, Python, Java, or Go.
  • Database Skills: Understanding of relational and/or NoSQL databases.
  • Cloud Platform Knowledge: Basic understanding of cloud technology, preferably the GCP ecosystem.
  • Problem Solver: Strong analytical and problem-solving skills with a focus on delivering scalable solutions.
  • Team Player: Excellent communication skills and the ability to collaborate in a team-oriented environment.
  • GCP Certification: GCP certified or willing to complete at least 1 certification within 1 month after joining.
  • Engineering Excellence: Willingness to grow and continue learning.
Preferred Qualifications
  • Familiarity with decentralized technologies and blockchain concepts.
  • Experience with version control tools like Git.
  • Internship or personal projects showcasing your development skills.

Benefits

  • Competitive salary and benefits package.
  • Hybrid work environment (MWF in-person in our Reston office).
  • A collaborative and innovative work environment.
  • Continuous learning and development opportunities.