1

Artificial Intelligence Testing Jobs in Washington

next page

Showing results 1-20

Artificial Intelligence Testing information

See Washington salary details

$45

$52

$65

How much do artificial intelligence testing jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for artificial intelligence testing in Washington is $52.64, according to ZipRecruiter salary data. Most workers in this role earn between $47.64 and $57.74 per hour, depending on experience, location, and employer.

What is an artificial intelligence testing job?

An Artificial Intelligence Testing job involves evaluating and validating AI models, algorithms, and systems to ensure accuracy, reliability, and fairness. Testers design test cases, identify biases, detect errors, and assess model performance under different conditions. They use tools like automation frameworks, data validation techniques, and model debugging to improve AI functionality. The role requires knowledge of machine learning, programming, and testing methodologies to ensure AI systems perform as expected in real-world scenarios.

What are the key skills and qualifications needed to thrive in artificial intelligence testing?

To thrive in Artificial Intelligence Testing, candidates typically need a background in computer science, machine learning concepts, software testing methodologies, and knowledge of programming languages like Python or Java. Familiarity with AI testing frameworks, version control systems, and tools such as TensorFlow, PyTorch, or JUnit is highly valued, along with certifications in software testing or AI. Strong problem-solving ability, attention to detail, and effective communication skills are critical soft skills in this role. These qualifications ensure the tester can rigorously validate AI models, collaborate well with development teams, and maintain high-quality, reliable AI systems.

What are some common challenges faced by professionals in artificial intelligence testing?

Professionals in Artificial Intelligence Testing often encounter unique challenges, such as validating the unpredictable behavior of machine learning models and ensuring algorithmic fairness and accuracy. They must design comprehensive test cases to cover a wide variety of data inputs and potential edge cases, often in complex, rapidly evolving environments. Collaboration with data scientists, developers, and stakeholders is essential to understand model requirements and to interpret test results accurately. Staying up-to-date with advances in both AI and testing technologies is also key, as the field is continually evolving.

How do I become an artificial intelligence tester?

To become an artificial intelligence tester, you typically need a background in computer science, software engineering, or data science, along with knowledge of machine learning and AI concepts. Skills in programming languages such as Python or Java, experience with testing tools, and understanding of AI model behavior are essential. Earning relevant certifications or completing specialized training can also improve job prospects.

What are the most commonly searched types of Artificial Intelligence Testing jobs in Washington?

The most popular types of Artificial Intelligence Testing jobs in Washington are:

What are popular job titles related to Artificial Intelligence Testing jobs in Washington?

For Artificial Intelligence Testing jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Testing jobs in Washington look for?

The top searched job categories for Artificial Intelligence Testing jobs in Washington are:

What cities in Washington are hiring for Artificial Intelligence Testing jobs?

Cities in Washington with the most Artificial Intelligence Testing job openings:

Infographic showing various Artificial Intelligence Testing job openings in Washington as of August 2026, with employment types broken down into 8% Internship, 62% Full Time, 12% Part Time, 6% Temporary, and 12% Contract. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution, with an average salary of $109,484 per year, or $52.6 per hour.

Artificial Intelligence (AI) Engineer

AGE Solutions

Fort George G Meade, MD โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description

About Us
AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future.
AGE Solutions is seeking a highly motivated Artificial Intelligence (AI) Engineer to support our DoD customer's Emerging Technology Mission Assurance initiatives by researching, evaluating, engineering, and integrating Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and other emerging technologies that strengthen Department of Defense cybersecurity and enterprise capabilities.
Working directly with our customer's engineers, industry partners, and government stakeholders, the successful candidate will conduct technology research, support technology assessments and proof-of-concept activities, evaluate commercial and government AI solutions, and provide engineering recommendations that inform enterprise architecture, cybersecurity modernization, and future technology adoption across the DoD Information Network (DoDIN).
Responsibilities Include:
  • Research, evaluate, and assess emerging technologies, including Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Generative AI, cloud computing, cybersecurity, identity management, networking, and advanced computing platforms.
  • Analyze commercial and government technology solutions and provide technical recommendations supporting DISA modernization initiatives.
  • Design, develop, and execute technology evaluations, laboratory testing, pilot programs, and proof-of-concept demonstrations.
  • Develop technology evaluation plans, operational use cases, success criteria, performance metrics, and technical assessment reports.
  • Develop AI prototypes and assist with transitioning successful capabilities into operational environments.
  • Evaluate AI model performance, scalability, security, and operational effectiveness.
  • Apply systems engineering principles throughout technology evaluation, integration, testing, and transition activities.
  • Develop engineering documentation, including architecture diagrams, technical analyses, white papers, CONOPS, and engineering recommendations.
  • Support DISA integration with commercial cloud providers and cloud-hosted AI capabilities.
  • Evaluate AI workloads across hybrid, on-premises, and multi-cloud environments.
  • Collaborate with DISA organizations, DoD agencies, Combatant Commands, industry partners, and other stakeholders to evaluate emerging technologies.
  • Present technical findings, recommendations, and executive briefings to government leadership and Integrated Product Teams (IPTs).
  • Support strategic technology planning, technology roadmaps, business case analyses, and technology migration strategies.

Required Skills, Qualifications, and Experience:
  • Experience:
    • 10 Years of experience
      • 5+ years supporting Artificial Intelligence, Machine Learning, Systems Engineering, Emerging Technologies, Cybersecurity, or Cloud Engineering
  • Education:
    • Bachelor's degree in computer science, Artificial Intelligence, Systems Engineering, Cybersecurity, Information Technology, or a related technical field (or equivalent experience).
  • Security Clearance:
    • Must have and maintain a current DoD Top Secret Clearance.
  • Certifications:
    • Current DoD 8140 baseline certification (e.g., Security+ CE, CEH)
      • Highly Desired: Microsoft Azure AI Engineer Associate or Azure AI Fundamentals AWS Certified AI Practitioner or AWS Machine Learning Engineer
  • Experience with Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, or Generative AI technologies.
  • Experience conducting technology research, evaluations, proof-of-concepts, or pilot projects.
  • Knowledge of systems engineering principles and technology lifecycle management.
  • Experience with cloud computing platforms and AI-enabled cloud services.
  • Strong analytical, technical writing, and presentation skills.
  • Ability to develop technical documentation, reports, and executive briefings.
  • Strong communication and collaboration skills with government and technical stakeholders.

Preferred Qualifications:
  • Experience supporting DISA, DoD, Federal Government, or Intelligence Community technology modernization programs.
  • Experience with AI governance, Responsible AI, and AI security within government or regulated environments.
  • Experience with commercial cloud platforms such as Microsoft Azure or Amazon Web Services (AWS).
  • Familiarity with Zero Trust Architecture, NIST Risk Management Framework (RMF), and DoD cybersecurity policies.
  • Experience supporting enterprise architecture, technology roadmaps, and modernization initiatives.
  • Experience briefing senior government leadership and executive stakeholders.
  • Experience with DevSecOps, automation, containerization, or Kubernetes.
  • Knowledge of DISA Enterprise Integration and Innovation Center (EIIC), Risk - Management Executive (RME), or emerging technology assessment initiatives.
  • Active Top Secret clearance with SCI eligibility preferred.

Work Environment and Physical Demand:
  • This work will be conducted in an office environment. Must be able to sit for prolonged periods of time.
  • Location and Schedule:
    • Must be within commuting distance of Fort Meade, MD and able to work on-site on a hybrid schedule.
      • 1 day/week onsite required with additional days onsite if the project requires.

The projected salary range for this position is $155,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications.
At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.
  • 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  • Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  • 401(k) with Match: We match 3% of your contributions with immediate vesting.
  • Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  • Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  • Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  • Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  • Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  • Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.

At AGE, you'll do work that matters, supported by a company that delivers for its people.