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Entry Level Ai Developer Jobs in Washington (NOW HIRING)

i3

Principal Data Scientist

Washington, DC · On-site

... Data Engineer Associate o AWS Machine Learning Engineer Associate o AWS AI Practitioner ... Professional o Python (Entry Level / Associate / Professional) Apply Now Refer to a Friend ...

CTAC

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 ...

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All JobsAi Developer JobsEntry Level Ai Developer JobsEntry Level Ai Developer Jobs in Washington

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 Aug 23, 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 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 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 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 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 job categories do people searching Entry Level Ai Developer jobs in Washington look for?

The top searched job categories for Entry Level 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:

Entry Level Ai Developer jobs near you
Infographic showing various Entry Level Ai Developer job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,560 per year, or $54.6 per hour.

Tax Innovation - AI Engineer - Senior Manager

Pwc

Washington, DC

$124K - $335K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a Tax Innovation - AI Engineer, you will lead the integration and deployment of artificial intelligence technologies within our Tax practice, enhancing performance and capabilities. As a Senior Manager, you will leverage your skills and professional networks to deliver quality results, acting as a strategic advisor and driving project success. You will be responsible for building trust with multi-level teams and stakeholders, motivating and coaching teams to solve complex problems, and applying sound judgment to develop high-performing, diverse, and inclusive teams.
In this role, you will oversee the design, development, and maintenance of data infrastructure, confirming data quality and integration across various systems. You will also engage in coaching and feedback processes to foster growth and innovation within your team. Your ability to manage data pipelines and model data effectively will be crucial in supporting efficient data management and decision-making. This position offers the opportunity to deepen your skills in AI implementation and machine learning, contributing to the overall success of our firm.
Responsibilities
- Leading the integration and deployment of artificial intelligence technologies to enhance performance and capabilities
- Overseeing the design and maintenance of data infrastructure to support efficient data management and sharing
- Managing data pipelines to validate accurate and timely data movement across systems
- Developing data models to organize and represent data in a structured manner, supporting decision-making processes
- Implementing machine learning and natural language processing techniques to drive innovation in data analytics
- Utilizing Python programming to build and refine data analytics solutions
- Conducting rapid experimentation to test new ideas and improve data-driven strategies
- Providing coaching and feedback to develop team skills and performance in data and analytics engineering
- Collaborating with stakeholders to integrate data from different and multiple sources into a unified view
- Validating data quality to maintain accuracy, consistency, and reliability for informed decision-making
What You Must Have
- At least a Bachelor's degree
- At least 6years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Leading AI implementation projects to enhance performance and capabilities
- Managing data infrastructure to promote data sharing and consumption
- Integrating data from diverse sources into unified views
- Modeling data to support efficient management and integrity
- Utilizing Python for programming and machine learning applications

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $124,000 - $335,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

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