AI Quality Engineering Lead - Hybrid

Drive quality assurance in AI solutions with Iris Software as a QE Lead in a hybrid work model. Focus on comprehensive testing strategies, risk compliance, and code validation.

As a QE Lead at Iris Software, you'll design and implement test strategies tailored for AI and risk reporting. This role requires a strong grasp of functional, integration, and system-level testing, as well as the design of QA tools. You'll work closely on autonomous systems, ensuring robust AI decision-making through rigorous testing.

Key Responsibilities:

• Design comprehensive test strategies for AI solutions

• Define acceptance criteria and quality gates for systems

• Develop application programs and utilities for testing

• Execute comprehensive testing on functional and integration levels

• Analyze failure scenarios for AI agents' decision-making

Requirements:

• Proven experience in quality engineering and testing

• Strong coding skills for testing applications

• Familiarity with risk and compliance frameworks

• Ability to design test utilities and QA tools

• Experience with edge case and scenario analysis

Leverage your QA expertise to enhance Iris Software's AI-driven solutions and ensure compliance standards.
#J-18808-Ljbffr