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Skills
Aerospace and Defenseunmatched
Agile Programming Methodologiesunmatched
Amazon Web Services (AWS)unmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Automationunmatched
Automotive Manufacturingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
DevOpsunmatched
GCP (Good Clinical Practices)unmatched
Heavy Equipment/Vehiclesunmatched
Javaunmatched
JavaScriptunmatched
Machine Learningunmatched
Manufacturingunmatched
Microsoft Windows Azureunmatched
Natural Language Processing (NLP)unmatched
Python Programming/Scripting Languageunmatched
QA Partner Testing Softwareunmatched
Quality Assuranceunmatched
Quality Assurance Methodologyunmatched
Quality Engineeringunmatched
Regression Testingunmatched
Root Cause Analysisunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Seleniumunmatched
Software Testingunmatched
Test Automationunmatched
Test Caseunmatched
Test Designunmatched
Test Plan/Scheduleunmatched
Test Strategyunmatched
Testingunmatched
Description
NO CORP TO CORP ONLY W2
Seeking an experienced AI Architect for Testing to lead enterprise AI and Generative AI initiatives within Quality Engineering and Software Testing environments. This role focuses on AI-driven QA transformation, automation modernization, and enterprise testing strategy.
Key Responsibilities
Lead AI strategy and testing transformation initiatives
Design AI-powered testing solutions including:
Test case generation
Defect prediction
Root cause analysis
Intelligent regression testing
AI-assisted automation workflows
Integrate AI capabilities into CI/CD and QA processes
Develop scalable AI-enabled testing frameworks
Partner with QA, DevOps, Engineering, and Product teams
Required Skills
10+ years in QA Automation, Quality Engineering, or Test Architecture
3+ years of hands-on AI / Generative AI experience
Experience with:
LLMs
NLP
Machine Learning
Prompt Engineering
Enterprise AI implementations
Required Technologies
Java
SQL
Selenium
Playwright
Preferred
Python
JavaScript
Karate
TestNG
Tosca
AWS, Azure, or GCP
Ideal Background
Candidates should come from large enterprise environments within industries such as:
Aerospace
Automotive Manufacturing
Heavy Equipment
Industrial Manufacturing
Preferred Experience
AI copilots / AI-assisted QA solutions
RAG, AI agents, workflow automation
CI/CD and DevOps integration
Agile development environments
Strong preference for candidates with stable work history and proven enterprise AI implementation