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Ai Automation Testing Jobs in Washington (NOW HIRING)

SAIC

QA Automation Tester

Reston, VA · On-site +1

$120K - $160K/yr

Identify and drive implementation of best practices in automation testing, including AI-based ... techniques for defect detection, predictive test case generation, and maintenance of reusable test ...

SAIC

QA Automation Tester

Reston, VA · On-site

$120K - $160K/yr

Identify and drive implementation of best practices in automation testing, including AI-based ... techniques for defect detection, predictive test case generation, and maintenance of reusable test ...

Saic

QA Automation Tester

Reston, VA · On-site

$100 - $130/hr

Identify and drive implementation of best practices in automation testing, including AI-based ... techniques for defect detection, predictive test case generation, and maintenance of reusable test ...

SAIC

QA Automation Tester

Reston, VA · On-site

$120K - $160K/yr

Identify and drive implementation of best practices in automation testing, including AI-based ... techniques for defect detection, predictive test case generation, and maintenance of reusable test ...

SAIC

QA Automation Tester

Reston, VA

$120K - $160K/yr

Identify and drive implementation of best practices in automation testing, including AI-based ... techniques for defect detection, predictive test case generation, and maintenance of reusable test ...

SAIC

QA Automation Tester-Reston, Virginia

Manassas, VA

$120K - $160K/yr

Identify and drive implementation of best practices in automation testing, including AI-based ... techniques for defect detection, predictive test case generation, and maintenance of reusable test ...

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All JobsAi Automation Testing JobsAi Automation Testing Jobs in Washington

Ai Automation Testing information

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

What are the key skills and qualifications needed to thrive as an AI automation testing professional?

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

What are some common challenges faced by AI automation testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

How to become an AI automation tester?

To become an AI automation tester, you should have a strong understanding of software testing principles, programming languages such as Python or Java, and experience with automation tools like Selenium or TestComplete. Familiarity with AI and machine learning concepts can be beneficial, along with certifications in testing or automation. Gaining hands-on experience through internships or projects is also valuable for this role.

Is AI automation testing a good career?

AI automation testing is a growing field within software quality assurance that involves using AI tools and scripting to automate test cases, increasing efficiency and coverage. It requires knowledge of programming, testing frameworks, and AI concepts, making it a valuable skill set with strong job prospects and competitive salaries.

What are popular job titles related to Ai Automation Testing jobs in Washington?

For Ai Automation Testing jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Ai Automation Testing jobs in Washington look for?

The top searched job categories for Ai Automation Testing jobs in Washington are:

What cities in Washington are hiring for Ai Automation Testing jobs?

Cities in Washington with the most Ai Automation Testing job openings:

Ai Automation Testing jobs near you
Infographic showing various Ai Automation Testing job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 8% Part Time, 2% Temporary, 7% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

AI/Automation Engineer

Key Concepts Knowledgebase LLC

Bethesda, MD • On-site

Full-time

Re-posted 22 days ago

Job description

EOE Statement
Key Concepts Knowledgebase is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation because of age, race, color, national origin, ancestry, religion, sex, sexual orientation (including transgender status, gender identity or expression), pregnancy (including childbirth, lactation, and related medical conditions), reproductive health decisions, marital status, personal appearance, matriculation, political affiliation, credit information, employment status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, status as a victim or family member of a victim of domestic violence, a sexual offense, or stalking, homeless status, or any other status protected by federal, state, or local laws.
Description
Position Summary/Overview:
Key Concepts Knowledgebase, LLC., is seeking an AI/Automation Engineer for a project at a large government support organization. The successful candidate will work with our IT managers, engineers, technicians, and the client to help with transforming how the organization digitizes forms, processes and automate workflows. Assisting with existing, modern platform that utilizes Microsoft's latest suite of enterprise AI tools and services.
Position Requirements
The AI/Automation Engineer key requirement/responsibilities are as follows:
Knowledge, Skills and Abilities:
  • Conduct a thorough assessment of the current applications and operational processes landscape and document existing gaps and opportunities for AI and Automation
  • Propose solutions and recommendations for system enhancements, including software updates, integrations, and process improvements.
  • Translate business requirements into technical solutions
  • Oversee the AI/ML and automation development lifecycle, including architecture design, experimentation, and performance optimization
  • Collaborate with cross-functional teams (DevOps, Data Engineering, Cybersecurity) to integrate AI and automation into production environments
  • Research and evaluate emerging AI/ML tools, technologies, and frameworks to drive innovation
  • Ensure all solutions meet federal security, compliance, and cloud architecture standards
  • Develop project documentation, including project plans, timelines, and progress reports.
  • Communicate effectively with other team members, stakeholders and business partners
  • Developing clean code, debugging, teamwork workflows, version control, developing against APIs, developing using cloud basics and deployment pipelines
  • Building and deploying intelligent agents and agentic workflows using Microsoft Copilot Studio and Agent 365 to automate complex, multi-step business functions.
  • Designing and optimizing automation pipelines using Microsoft Power Automate, including AI Builder to infuse AI into Power Apps and automated processes.

Technical Requirements (required and desired - specify):
Required-
  • Extensive knowledge of Microsoft Power Platform including Power Automate, Azure Open AI, Microsoft Copilot Studio, Agent 365, Microsoft Purview, GitHub for version control, Visual Studio Code, Python, C#, Microsoft Azure AI Services, Azure Machine Learning.
  • Minimum of eight 5 to 8 years' overall relevant experience development and automation experience.
  • Minimum of 3+ years of hands-on experience in AI/ML and automation solution development
  • Four years' proven work experience as an AI Engineer or similar role in automation
  • Prior experience with federal or public sector digital modernization projects
  • Experience designing effective prompts and validating AI-generated output

Desired-
  • NIH experience
  • Knowledge of cybersecurity principles, Zero Trust Architecture, RMF and FedRAMP compliance

Training and Certifications:
  • Azure AI Engineer Associate (AI-102), Azure AI Fundamentals (AI-900), or specialized AI & ML Professional Certificates. Microsoft Certified: Agentic AI Business Solutions Architect

Education-
  • A degree in any related field and 3+ years of experience. Years of experience may be substituted for BS degree

Other:
  • Must be able to obtain and/or pass a public trust background check. Must be able to work flexible hours and multiple locations.

Full-Time/Part-Time
Full-Time
Position
AI/Automation Engineer
Location
Bethesda
This position is currently accepting applications.
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About Key Concepts Knowledgebase

Sourced by ZipRecruiter

Key Concepts Knowledgebase, LLC is a Small DBE Business, and solutions-driven enterprise based in the DC area. The company is founded on the provision of quality services, creative business and IT solutions, and responsible business processes. Mission Statement: With a focus on transferring knowledge on key concepts in the process, we seek to provide our customers with the best of breed services and solutions, to solve their business problems and be part of initiatives that drive sustainable, green IT solutions.

Industry

Network security

Company size

1 - 10 Employees

Headquarters location

Fairfax, VA, US

Social media

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