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Senior AI Test Engineer (Remote)
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TestPros

Senior AI Test Engineer (Remote)

Sterling, VA, United States

Remote

$50 to $80 USD / hour

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Job details

Pay: $50 to $80 USD / hour
Workplace: Remote
Posting language: English
Posted: Aug 11, 2026

Original job description

TestPros delivers innovative independent IT assessment solutions to critical challenges facing the nation and the world. We support the U.S. Federal/State/Local Government and Commercial clients within the continental USA. TestPros is dedicated to making lives better, safer and more secure.

TestPros is seeking a Senior Artificial Intelligence (AI) System Test Engineer with an analytical, customer-focused mindset and experience with the OWASP AI Testing Guide and other guidelines from NIST, ISO, and IEEE.

Start: Future projects in late 2026 or 2027 (not an immediate job opening)

Type: Part-time consulting

Overview

Focus: Software test end evaluation

Regulatory Basis: OWASP AI Testing Guide, NIST AI Risk Management Framework (AI RMF), NIST Cybersecurity Framework (CSF) Cyber AI Profile, AI Bills of Materials (AI-BOMs), NSA AI Security Guidelines.

Location: Remote, with occasional travel to customer sites or TestPros labs in Sterling, VA

This role evaluates AI systems and software for alignment with the intended functions and features, plus additional assessment focused on AI-specific validation, including model robustness, data integrity, adversarial defense, performance, usability, reliability, security, maintainability, safety, and other aspects of overall quality.

Key Responsibilities:

Develop and execute test plans and evaluate software for compliance with the OWASP AI Testing Guide and other guidance, create defect and remediation records, capture test evidence and document defects with clear reproduction steps and severity ratings, report results to senior management and stakeholders.

Required Skills.

Bachelor's degree in computer science, engineering or a related field.
10+ years of experience in Software/System Testing and Quality Engineering (QE), including enterprise-scale transformation programs.
Solid understanding of and experience with the OWASP AI Testing Guide, and the NIST AI Risk Management Framework (RMF).
4+ years hands-on experience defining the testing strategy for large scale programs and ensuring requirements traceability throughout the system development lifecycle. Experience should include leading the testing efforts, including experience with all phases of testing: system integration, user acceptance, and performance testing.
A deep understanding of testing planning and associated delivery challenges.
A strong understanding of the various approaches used in testing techniques - white-box, black-box, load testing, coverage testing and regression testing.
Proven experience in defining and executing QE transformation strategy.
Hands-on expertise in Agentic AI / GenAI frameworks (e.g., LangChain, AutoGen, CrewAI, Cursor, etc.).
Experience working in Cloud, Web and Mobile Testing platforms - Saucelabs, Browerstack are preferred.
Hands-on experience with machine learning models.
Experience in Python NLTK or similar natural language processing technology.
Practical experience implementing AI-driven QE solutions such as:
Autonomous test generation
Self-healing automation
Defect prediction and intelligent triaging
Expertise in test automation tools (Selenium, Playwright, Cypress, etc.).
Strong experience with CI/CD pipelines and DevOps integration (GitHub).
Solid understanding of API, microservices, and cloud-native architectures.
Experience evaluating or testing Artificial Intelligence (AI) Large Language Model (LLM)-based application features (e.g., chatbots, copilots, RAG-based systems), including prompt-response validation and hallucination/edge-case testing.
Exposure to AI-assisted defect triage or root-cause analysis tools that reduce manual investigation time.
Experience with cloud platforms (AWS, Azure, GCP) in QE/AI context.
Exposure to self-healing test automation frameworks (AI-driven locator repair, visual AI testing).
Understanding of responsible AI/testing governance principles (bias detection, explainability, model validation) as applied to QE.
Experience contributing to or influencing AI-adoption roadmaps within a testing/QE organization.
Experience implementing testing best practices specific to the test planning and execution processes and gaining buy-in for changes from executives.

Preferred Skills

Experience with test automation tools, and AI assisted test tools
Familiarity with JIRA project/test management system
Knowledge of other IT compliance such as WCAG/Accessibility, IT Security, IT Privacy
Professional certifications in the software testing discipline

Work Environment: Hands-on testing role. Remote-friendly with occasional on-site or hybrid work as needed.

Rate: $50-80/hr. 1099 or Corp. To Corp.). This range represents a good-faith estimate and is not a guarantee; final compensation is determined by factors such as experience, qualifications, and government contract labor rate requirements and may fall outside the stated range.

Equal Opportunity Employer

TestPros is an equal-opportunity employer and does not discriminate in employment based on race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or any other non-merit factor.

Offer Considerations

TestPros considers several factors when extending an offer, including but not limited to, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, geographic location, education, and certifications.

Federal Compliance

As a federal contractor, TestPros is subject to all federal and state mandates and/or other customer requirements.

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More about this job

Skills

Computer science
Risk management
ICT system integration
LangChain
Machine learning
Python
Natural language processing
Tools for ICT test automation
Selenium
CI/CD
DevOps
GitHub
Microservices
Root cause analysis
AWS
Microsoft Azure
Google Cloud
Test automation
Atlassian JIRA

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