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Entry Level Ai Developer Jobs in Washington (NOW HIRING)

Junior DevOps Engineer

Falls Church, VA · On-site

$56.25 - $77/hr

... Entry Level Job Type Full-time Location CTAC HQ - Falls Church, VA 22042 US (Primary) Travel 0 ... Experience using AI tools to shorten development cycles and reference issues and solutions * AWS ...

Junior AI/ML Strategist

Arlington, VA · Hybrid

$98K - $163K/yr

Collaborate with engineering, data, and compliance teams to ensure client deliverables align with ... Security+, AWS Certified Cloud Practitioner, or equivalent entry-level cloud/cyber credentials.

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Showing results 1-20

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 13, 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.
Software Engineering Analyst

Software Engineering Analyst

Accenture Federal Services

Washington, DC • On-site

Other

Re-posted 6 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 449 rated business services


Job description

Software Engineering Analyst 

Start Your Career Where Innovation Meets Purpose 

At Accenture Federal Services, we help the U.S. federal government make the nation stronger, safer, and better for all. Our 13,000+ team members are united by a shared purpose: to harness the limitless potential of technology and human ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.  

Join a collaborative and caring community where you belong, and where your growth is our priority. As an entry-level analyst, you'll gain hands-on experience, earn industry certifications, and receive structured training that builds on your engineering mindset-applying creativity and analytical thinking to solve real-world challenges.  

We're writing the playbook for how to be the most AI-enabled, client-focused, and people-first organization. Our reinventors are driving faster value for clients and shaping the future of government services.  

Are you ready to reinvent what's possible?  

It's your career, your life, and your choice. Let's build something that matters-together.  

The Opportunity 

At AFS, our Software Engineering Analysts are at the forefront of building mission-critical solutions for the U.S. federal government. You'll begin your journey with immersive training in full-stack development, cloud-native engineering, and modern software practices-preparing you to tackle real-world challenges with cutting-edge tools.  

In this role, you'll apply your engineering mindset to design, develop, and deploy secure, scalable software systems that integrate advanced AI capabilities. You'll work side-by-side with teammates to solve complex problems across defense, national security, and civilian sectors-leveraging the power of Gen AI and emerging technologies to deliver faster value.  

What You'll Do: 

  • Experiment and be an early adopter of emerging technologies and next-generation IT tools, including genitive AI, intelligent agents, and edge computing 
  • Leverage advanced engineering frameworks such as Agentic AI to accelerate solution development and automate complex workflows. 
  • Design and build full-stack applications using languages like Python, Java, and JavaScript, and frameworks such as React, Node.js, and Spring Boot. 
  • Deploy cloud-native solutions on platforms like AWS, Azure, or GCP using containers (Docker, Kubernetes), serverless functions, and infrastructure-as-code. 
  • Integrate AI/ML models into production systems using various tools, optimizing for performance, stability, and ethical use.  
  • Collaborate in agile teams to deliver secure, resilient, and innovative software that supports federal missions and improves citizen services.  

What You'll Learn 

  • AI engineering fundamentals, including model deployment, orchestration, and responsible AI practices. 
  • Agentic system design and how autonomous agents can drive mission outcomes. 
  • DevSecOps, CI/CD pipelines, and secure software development lifecycle (SDLC) tailored for federal environments. 
  • How to rapidly prototype and iterate using modern engineering methods and cloud-native architectures.  

Basic Qualifications 

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical Engineering, or a related STEM field, with a graduation date no later than August 31, 2026. 
  • Strong foundation in programming languages and familiarity with software development methodologies (Agile, DevOps) and version control systems (e.g., Git).  
  • U.S. citizenship required (due to federal contract requirements) 
  • Ability to travel 25-50% preferred, but requirements vary by team and location. 

Preferred Qualifications 

  • Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred) from a 4-year accredited institution. 
  • Coursework or hands-on experience in multiple programming languages, modern frameworks, architectures, databases, cloud platforms, and AI/ML. 
  • Experience with full-stack development frameworks and knowledge of secure coding practices and software testing methodologies. 
  • Familiarity with AI frameworks and exposure to Agentic AI concepts or autonomous system design.  
  • Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly.  
  • Active security clearance or eligibility to obtain one. 

Work Model 

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.  

  • If this position is listed as remote or hybrid, you'll periodically work from an Accenture Federal or client site facility.  
  • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for a specific role.  

This is more than a job-it's a launchpad for a technical career in federal innovation. Whether you aspire to be a cloud engineer, AI integration specialist, or software architect, we'll support your growth with mentorship, certifications, and access to the latest technologies through the Analyst Development Program (ADP).  


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