AI Quality Engineer #2

Project Name: SNAP Payment Error Rate (CAP) Reduction Project

SNAP Payment Error Rate (CAP) reduction initiative is a top-priority, agency-wide strategic effort aimed at mitigating federal oversight findings and avoiding substantial financial penalties amounting to millions of dollars. In partnership with McKinsey, the agency is leveraging artificial intelligence, Robotic Process Automation and advanced analytics to strengthen eligibility, case processing accuracy, and quality control review. This initiative will modernize error detection, introduce proactive prevention capabilities, and enhance operational decision-making through data-driven insights. The outcome is expected to reduce payment inaccuracies, accelerate case resolution, improve compliance, and increase public trust in program integrity.

TASKS & DUTIES:

AI Agent Test Scenario Creation: Designing robust and relevant test scenarios to validate AI agent behavior and performance.

PRD Analysis: Analyzing Product Requirement Documents (PRDs) to extract testing requirements and ensure comprehensive test coverage.

Performance Testing: Conducting thorough performance testing of AI systems to identify bottlenecks and ensure scalability.

Agentic Testing: Utilizing agentic coding tools such as Windsurf, Claude Code, and Cursor for advanced automation tasks.

Selenium AI Plugins: Implementing and leveraging AI-powered Selenium plugins, including Healenium and Applitools Eyes, for intelligent visual and functional testing.

QA Automation with MCP Integration: Integrating QA automation processes with our Master Control Program (MCP) for centralized management and execution.

APIs & Integrations: Testing and integrating with REST and SOAP APIs to ensure seamless connectivity between systems.

Process Analysis Workflow Analysis: Analyzing complex business workflows to understand processes and identify pain points.

Identifying Automation Opportunities: Proactively identifying areas within the QA lifecycle and business processes that can be optimized through AI automation.

Excel Automation: Automating data-intensive tasks using Excel automation techniques.

REQUIRED SKILLS

Minimum 5 years of experience with industry-standard tools such as JIRA, AZDO, Balsamiq, and MS Visio.

Minimum 5 years of experience with automation tools including QTP, WinRunner, Visual Studio, and Selenium.

Minimum 5 years of experience in creating, executing, and managing automation scripts effectively.

Minimum 5 years of experience in utilizing SQL Server, LoadRunner, and JMeter for database management and performance testing.

Minimum 5 years of experience in exhibiting strong understanding and practical experience with Agile and Scrum methodologies.

Minimum 5 years of experience in using version control systems like Git and platforms such as GitHub or GitLab for collaborative development and test management.

Minimum 5 years of experience in exhibiting proficiency in end-to-end defect life cycle management, including logging, tracking, and verifying fixes.

Minimum 5 years of experience in integrating automated tests into Continuous Integration/Continuous Deployment (CI/CD) pipelines using tools like Jenkins or Azure DevOps.

 At Ariel Partners, we solve the most difficult problems that inhibit technology from enabling our customers to achieve their goals. Our vision is to be recognized by our stakeholders as an elite provider of IT solutions, so when they have their biggest challenges we’re on their short list. We’re looking for team members who share our values of: Integrity to do the right thing even when it hurts; Commitment to the long term success and happiness of our customers, our people, and our partners; Courage to take on difficult challenges, accept new ideas, and accept incremental failure; and the constant pursuit of Excellence. 

Ariel Partners is an Equal Opportunity Employer in accordance with federal, state, and local laws.