AI QA, AVP-1

State Street•Burlington, MA

16h•$80,000 - $140,000

About The Position

The team you will be joining is responsible for advancing quality engineering for AI-enabled capabilities within the CRIMS / State Street Alpha product suite. As a Quality Assurance Engineer focused on AI testing, you will work within a scrum team to design and implement scalable test frameworks, validate AI-driven product behavior, and strengthen the team’s ability to test intelligent features with speed, rigor, and confidence. This role is ideal for a mid-level QA professional who combines strong software testing fundamentals with hands-on experience applying AI in the test process and testing AI functionality embedded in enterprise products. Partner closely with product managers, software engineers, architects, and scrum team members to ensure AI-enabled capabilities are testable, reliable, and aligned to business and client needs. Design and build reusable QA frameworks and test approaches tailored to validating AI-driven functionality, including model-integrated workflows, intelligent recommendations, generated outputs, and workflow automation. Define test strategies that address both traditional application quality and AI-specific quality dimensions such as consistency, accuracy, robustness, explainability, and edge-case handling. Contribute to sprint planning, story refinement, and acceptance criteria development to ensure quality considerations are embedded early in the software development lifecycle. Help evolve the team’s quality engineering practices by introducing practical uses of AI to improve test design, coverage analysis, defect detection, and test execution efficiency.

Requirements

5–8 years of professional software testing or quality assurance experience, preferably within agile or scrum-based product development teams.
Proven experience implementing AI capabilities within the software testing process, such as intelligent test generation, test optimization, defect analysis, or productivity acceleration.
Critical to the role is hands-on experience testing AI functionality embedded within a software product, including validation of generated outputs, model-driven behavior, workflow integration, and exception scenarios.
Understanding of AI-specific testing concepts beyond deterministic validation, including guardrail testing, probabilistic output assessment, accuracy evaluation, and monitoring for production drift or model behavior changes over time.
Strong understanding of QA methodologies, test strategy development, defect lifecycle management, and test automation best practices.
Experience building or extending test frameworks to support scalable, maintainable, and reusable testing practices.
Experience with API testing, integration testing, regression testing, and end-to-end validation in complex enterprise applications.
Working knowledge of test automation tools, scripting, and CI/CD integration.
Strong analytical, problem-solving, and communication skills, with the ability to work effectively across cross-functional teams.
Ability to translate ambiguous product behavior into clear test scenarios, acceptance criteria, and risk-based validation approaches.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.

Nice To Haves

Financial services, asset management, trading, investment management, or fintech experience is a plus.

Responsibilities

Develop and maintain automated and manual test frameworks that support validation of AI-enabled features across the CRIMS / Alpha platform.
Create test plans, test cases, and test data strategies for functional, integration, regression, and non-functional testing of AI-driven capabilities.
Validate product behavior for AI use cases, including quality of outputs, workflow integration, response accuracy, exception handling, and user experience impacts.
Design and execute tests for AI guardrails, probabilistic outputs, and response boundaries to ensure generated results are accurate, safe, consistent, and aligned with intended business outcomes.
Help define approaches for monitoring AI behavior in production, including drift detection, output quality trends, and feedback loops to confirm AI-enabled features continue learning and performing as expected over time.
Identify, document, and drive resolution of defects, with clear analysis of reproducibility, business impact, and root cause patterns.
Work with engineering teams to integrate automated testing into CI/CD pipelines and improve test coverage across the scrum team’s delivery scope.
Apply AI tools and techniques within the test lifecycle to improve productivity, accelerate coverage creation, and enhance defect discovery.
Collaborate with developers and product partners to define measurable acceptance criteria and quality gates for AI-related user stories and features.
Support risk-based testing and help prioritize test efforts across new development, regression areas, and high-impact client workflows.
Contribute to continuous improvement of QA standards, test assets, documentation, and team-level best practices for testing AI-enabled products.
Communicate testing progress, risks, and quality insights effectively within the scrum team and to broader stakeholders as needed.

Benefits

our retirement savings plan (401K) with company match
insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
paid-time off including vacation, sick leave, short term disability, and family care responsibilities
access to our Employee Assistance Program
incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
eligibility for certain tax advantaged savings plans
flexible Work Program
development programs and educational support
paid volunteer days
matching gift program
access to employee networks