Junior AI QA Engineer, Senior Associate

State Street•Burlington, MA
•$80,000 - $140,000

About The Position

Quality Assurance Engineer – AI Testing, Charles River Development/State Street Alpha. 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.

Requirements

  • 0-2 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
  • inclusive development opportunities
  • flexible work-life support
  • paid volunteer days
  • vibrant employee networks
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