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Principal Test Engineer – Agentic AI (Remote)

Businessolver

Remote · US

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About this role

Since 1998, Businessolver has delivered market-changing benefits technology and services supported by an intrinsic responsiveness to client needs. The company creates client programs that maximize benefits program investment, minimize risk exposure, and engage employees with easy-to-use solutions and communication tools to assist them in making wise and cost-efficient benefits selections. Founded by HR professionals, Businessolver's unwavering service-oriented culture and secure SaaS platform provide measurable success in its mission to provide complete client delight.

**Please be aware of recruitment scams. Businessolver does not make job offers outside of our official hiring process or request payment or sensitive personal information. You will never receive an offer of employment without meeting a hiring authority and having a "live" and face-to-face conversation.**

Job Summary:

The Principal Test Engineer comes with proven success applying AI to test automation and quality assurance. This individual is responsible for improving product quality, reducing dependency on manual processes and increasing overall testing efficiency. They help to define and advance our enterprise testing strategy, maintain and evolve the UI automation framework, support load and performance testing and ensure test coverage aligns to system architecture, product risk, and delivery priorities. The Principal Test Engineer develops agent-driven manual and automated tests and guides the adoption of agentic testing practices utilizing best in class AI and testing technologies across engineering, product, and architecture teams to increase throughout while elevating quality.

The Gig:

• Develop AI Agents that perform manual and automated testing to support rapid delivery of code changes.

• Drive the development and adoption of agent-driven manual and automated testing practices to improve test creation, execution efficiency, coverage, and defect detection.

• Define and maintain the overall testing strategy across unit, integration, API, UI, regression, exploratory, performance, and risk-based testing.

• Own the direction, maintenance, and continuous improvement of the UI automation framework, with emphasis on reliability, scalability, reuse, speed, and long-term maintainability.

• Lead the technical approach for performance and load testing, including test design, tooling direction, coverage priorities, result analysis, and recommendations for system improvement.

• Build a strong understanding of system architecture, application workflows, integrations, and technical dependencies, and align testing strategy to the areas of highest business and technical risk.

• Establish, document, and refine testing standards, engineering best practices, and quality guardrails that improve consistency and reduce defect escape.

• Provide hands-on technical leadership in test design, framework enhancement, troubleshooting, and resolution of complex quality and automation challenges.

• Mentor members of the quality team in sound testing practices, including stronger use of unit and integration testing.

• Partner with software engineers, architects, product teams, and other stakeholders to influence quality strategy early in solution design and throughout delivery.

• Evaluate and recommend testing tools, frameworks, and methodologies that improve productivity, test signal quality, and long-term supportability.

• Review test coverage, quality risks, and validation approaches for new features and platform changes, and communicate clear recommendations to technical and non-technical stakeholders.

• Promote continuous improvement.

• Comply with all standards and policies.

• All other duties as required.

What you need to make the cut:

• Bachelor degree in computer science, engineering or a related field or equivalent practical experience.

• 8+ years of experience in quality assurance, software engineering, or a related field, with a strong focus on automated and manual testing strategies in high-volume environments.

• Proven success using AI-assisted and agent-driven testing to improve coverage, efficiency, and quality outcomes.

• Experience developing and executing enterprise test strategies across unit, integration, API, UI, regression, exploratory, performance, and risk-based testing.

• Strong expertise with automation frameworks and tools including TestNG, JUnit, Selenium, API testing tools, and related quality technologies.

• Experience with performance and load testing, including test design, analysis, and actionable recommendations.

• Strong understanding of system architecture, integrations, and technical dependencies, with the ability to align testing to business and technical risk.

• Ability to establish testing standards, best practices, and quality guardrails that improve consistency and reduce defects.

• Experience mentoring engineers in effective unit and integration testing practices.

• Hands-on technical leadership in test design, framework strategy, troubleshooting, and automation improvements.

• Ability to collaborate with engineering, architecture, product, and business teams to influence quality throughout delivery.

• Excellent written and verbal communication skills with technical and non-technical audiences.

• Experience with Git and collaborative development practices.

Preferred

• Experience supporting quality engineering in SaaS, cloud, or distributed application environments.

• Proficiency in Java, Python, XML, or similar technologies used in test automation.

• Knowledge of object-oriented programming and automation framework design.

• Experience evaluating and implementing new testing tools, frameworks, and practices.

• Familiarity with API testing, performance testing, and broader quality governance.

The pay range for this position is 93K to 140K per year (pay to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equ

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