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Entry Level Artificial Intelligence Engineer Jobs in Washington

Booz Allen Hamilton, Inc.

AI/ML Engineer

Mclean, VA · On-site +1

$55K - $126K/yr

As an AI/ML engineer, you know that artificial intelligence and machine learning methods are transforming entire industries at an accelerating pace. Your ability to develop user-focused solutions ...

Booz Allen Hamilton

AI/ML Engineer

Mclean, VA · On-site

$55K - $126K/yr

As an AI/ML engineer, you know that artificial intelligence and machine learning methods are transforming entire industries at an accelerating pace. Your ability to develop user-focused solutions ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Mclean, VA · On-site

$55K - $126K/yr

As an AI/ML engineer, you know that artificial intelligence and machine learning methods are transforming entire industries at an accelerating pace. Your ability to develop user-focused solutions ...

Booz Allen Hamilton

AI/ML Engineer

Mclean, VA · On-site

$55K - $126K/yr

As an AI/ML engineer, you know that artificial intelligence and machine learning methods are transforming entire industries at an accelerating pace. Your ability to develop user-focused solutions ...

Booz Allen Hamilton

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

As an experienced engineer, you know that artificial intelligence (AI) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes ...

Booz Allen Hamilton

AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

As an experienced engineer, you know that artificial intelligence (AI) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes ...

Booz Allen Hamilton, Inc.

AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

As an experienced engineer, you know that artificial intelligence (AI) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes ...

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Entry Level Artificial Intelligence Engineer information

See Washington salary details

$34K

$78.6K

$133.6K

How much do entry level artificial intelligence engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entry level artificial intelligence engineer in Washington is $78,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $88,900.00 per year, depending on experience, location, and employer.

What kind of projects or tasks does an entry level artificial intelligence engineer typically work on?

Entry Level Artificial Intelligence Engineers often assist with data collection and preprocessing, implement and test machine learning models, and support research or production teams in developing AI solutions. You may help analyze large datasets, tune model parameters, write scripts for automation, and contribute to code reviews or documentation. Collaboration is common, as you’ll often work closely with data scientists, senior AI engineers, and product managers to advance ongoing projects. These experiences provide a strong foundation for developing your technical skills and understanding how AI solutions are built and deployed in real business environments.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence engineer?

To thrive as an Entry Level Artificial Intelligence Engineer, you need a solid background in programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often demonstrated through a relevant degree or project experience. Familiarity with key AI frameworks such as TensorFlow or PyTorch, version control systems like Git, and optionally certifications like Google’s TensorFlow Developer Certificate are valuable assets. Strong problem-solving skills, curiosity, and the ability to collaborate and communicate clearly within teams will help you stand out. These competencies are crucial for contributing effectively to real-world AI projects, learning on the job, and advancing in this rapidly evolving field.

What is an entry level artificial intelligence engineer?

An Entry Level Artificial Intelligence Engineer is responsible for developing AI models, writing algorithms, and working with data to build intelligent systems. They typically assist in training machine learning models, optimizing performance, and integrating AI solutions into applications. This role requires knowledge of programming languages like Python, machine learning frameworks, and data processing techniques. Entry-level AI engineers often collaborate with data scientists and software engineers to improve AI functionalities. Employers usually look for candidates with a degree in computer science, engineering, or a related field, along with hands-on experience in AI projects.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Washington? The most popular types of Artificial Intelligence Engineer jobs in Washington are:
What are popular job titles related to Entry Level Artificial Intelligence Engineer jobs in Washington? For Entry Level Artificial Intelligence Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level Artificial Intelligence Engineer jobs in Washington look for? The top searched job categories for Entry Level Artificial Intelligence Engineer jobs in Washington are:
What cities in Washington are hiring for Entry Level Artificial Intelligence Engineer jobs? Cities in Washington with the most Entry Level Artificial Intelligence Engineer job openings:
Entry Level Artificial Intelligence Engineer jobs near you
Infographic showing various Entry Level Artificial Intelligence Engineer job openings in Washington as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $78,559 per year, or $37.8 per hour.

Federal AI Solutions Engineer (Entry Level)

A-TEK Inc.

Mclean, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission!
A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape.
Our work is fueled by a passion to serve our clients' needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset - Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees.
A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This role is ideal for recent graduates with a strong academic foundation in Artificial Intelligence, Machine Learning, software engineering, and cloud technologies who are eager to apply their skills to real-world federal mission challenges.
The engineer will work alongside senior architects and engineers to develop AI-enabled applications, cloud-native solutions, automation workflows, and rapid prototypes that support A-TEK's DigitalShift innovation initiatives.
This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role. This role requires the ability to obtain and retain a public trust level security clearance.
Key Responsibilities
AI Solution Development
  • Assist in the design, development, and deployment of AI-powered applications and prototypes using:
    • AWS Bedrock
    • Azure OpenAI
    • LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks
  • Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities.
  • Support integration of AI solutions with APIs, enterprise systems, and cloud services.

Cloud Engineering
  • Build and maintain cloud-based environments in AWS and Azure.
  • Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep.
  • Support containerized deployments using ECS, EKS, or AKS.
  • Participate in CI/CD implementation and cloud automation efforts.

Technical Support & Innovation
  • Support senior engineers in troubleshooting cloud, AI, and data integration challenges.
  • Assist in developing reusable templates, accelerators, and reference architectures.
  • Participate in rapid prototyping efforts that demonstrate mission value for federal customers.

Collaboration & Knowledge Sharing
  • Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams.
  • Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives.
  • Stay current with emerging AI, machine learning, and cloud technologies.

Security & Compliance
  • Support implementation of solutions that align with:
    • NIST AI Risk Management Framework (AI RMF)
    • FedRAMP requirements
    • Zero Trust principles
    • Secure coding and responsible AI practices

Required Qualifications
Education (Required)
Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field.
Experience
  • 0-2 years of professional software engineering, AI/ML, or cloud development experience.
  • Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience.
  • Demonstrated programming experience in Python through coursework, projects, internships, or employment.

Technical Skills
  • Foundational understanding of machine learning, generative AI, and large language models.
  • Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects.
  • Familiarity with:
    • REST APIs
    • Git version control
    • Containerization concepts
    • Data pipelines and databases
  • Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects.
  • Strong analytical and problem-solving skills.

Certifications
One of the following is preferred within the first year of employment:
  • AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
  • Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)

Preferred Qualifications
  • Academic or project experience with:
    • LangChain
    • LlamaIndex
    • Semantic Kernel
    • CrewAI
  • Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
  • Experience building AI, machine learning, or cloud-based capstone projects.
  • Familiarity with DevOps, MLOps, or CI/CD concepts.
  • Interest in federal government missions and emerging AI technologies.

Compensation
Salary Range
$85,000 - $105,000 annually
Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility.
Benefits
  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off and Federal Holidays
  • Professional Development and Certification Reimbursement
  • Career Growth and Mentorship Opportunities

Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process.
For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call.
Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one.
A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.

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