AI QA Engineer: Test Intelligent AI Features

STATE STREET CORPORATION; Burlington (MA); On-site; USD 80,000 - 140,000; Full time

Benefits offered by this job

401K with company match

Medical, dental, vision insurance

Paid time off

Job summary

STATE STREET CORPORATION, the team behind Charles River Development and State Street Alpha, is seeking a Quality Assurance Engineer focused on AI testing in Massachusetts. You will design scalable QA frameworks, validate AI-driven product behavior, and work in an agile team to ensure reliable AI-enabled capabilities across enterprise products.

This mid-level role emphasizes hands-on testing of AI features, model-driven behavior, and guardrail validation, with opportunities to advance QA

Qualifications

• 0-2 years of professional software testing or QA experience in agile environments.
• Hands-on experience testing AI functionality embedded in software products.
• Understanding of AI-specific testing concepts like guardrails and drift monitoring.

Responsibilities

• Develop and maintain automated and manual test frameworks for AI-enabled features.
• Create test plans, cases, and data strategies for functional, integration, and regression testing.
• Validate AI outputs, model-driven behavior, and workflow integration.
• Design tests for AI guardrails and production drift monitoring.
• Integrate automated testing into CI/CD pipelines and report quality insights.
• Collaborate with engineers and product partners on measurable acceptance criteria.

Skills

QA fundamentals

AI testing

API testing

CI/CD

Scripting

Education

Bachelor's degree in CS/Engineering/IS or related field

Tools

Test automation tools

Job description

STATE STREET CORPORATION, the team behind Charles River Development and State Street Alpha, is seeking a Quality Assurance Engineer focused on AI testing in Massachusetts. You will design scalable QA frameworks, validate AI-driven product behavior, and work in an agile team to ensure reliable AI-enabled capabilities across enterprise products.

This mid-level role emphasizes hands-on testing of AI features, model-driven behavior, and guardrail validation, with opportunities to advance QA