Solutions Engineer II

Next Generation Quality Engineering Professional

We are seeking a skilled professional to drive the next generation of quality engineering through AI-assisted testing, automation, and continuous assurance practices. The ideal candidate will combine strong functional testing and automation expertise with hands-on experience using AI tools to accelerate test design, script development, regression optimization, dependency analysis, and quality reporting.

Locations:
Jersey City, NJ and Charlotte, NC

Salary Range:
Competitive and commensurate with experience

Required Skills &

Qualifications:

• Quality Engineering
• Functional Testing
• Integration Testing
• Regression Testing
• API Testing
• Risk-Based Testing
• Agile/Scrum Methodology
• Defect Management and Root Cause Analysis
• Automation skills with Selenium, Playwright, or Cypress
• Cucumber BDD
• TestNG/JUnit
• REST Assured or equivalent API automation tools
• Automation Framework Design and Maintenance
• Test Data Management
• AI & Copilot Skills including Git Hub Copilot and Client Copilot
• Prompt Engineering
• AI-Assisted Test Case Generation
• AI-Assisted Automation Development
• AI-Driven Defect Analysis
• AI-Based Regression Optimization
• Human-in-the-Loop Validation
• Responsible AI Practices
• Technical Skills in Java, JavaScript, or Python
• SQL and Data Validation
• Git/Bitbucket
• Jenkins, Git Hub Actions, Azure Dev Ops
• API Testing Tools
• Log Analysis and Monitoring Tools
• Prior work experience at client or in client's Industry

Applicants must be able to work directly for Artech on W2

Preferred Skills &

Qualifications:

• Test Impact Analysis
• Dependency Graph Analysis
• AI-Powered Test Maintenance
• Self-Healing Automation Frameworks
• Observability and Telemetry Analysis
• Open Telemetry, Splunk, or equivalent monitoring platforms
• LLM and Agent-Based Testing
• Cloud and Container Fundamentals
• Kubernetes and Dev Ops Concepts
• Data Quality Validation and Governance

Day-to-Day Responsibilities:

• Analyze business requirements, user stories, APIs, and technical specifications to develop comprehensive test strategies.
• Design, develop, and maintain automation frameworks for UI, API, integration, and end-to-end testing.
• Leverage AI tools to generate and optimize test cases, test data, automation scripts, and test documentation.
• Perform AI-assisted test impact analysis to identify affected applications, APIs, user stories, and regression scope.
• Build reusable automation assets and improve test execution efficiency through AI-assisted development.
• Validate data quality, business rules, controls, and compliance requirements.
• Execute and support continuous testing within CI/CD pipelines.
• Analyze application telemetry, logs, and production signals to identify quality risks and testing gaps.
• Participate in dependency analysis across code repositories, services, APIs, and downstream applications.
• Validate and govern AI-generated outputs using human-in-the-loop review practices.