Generative AI Quality Engineer - Senior Associate

This job is with State Street, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Who we are looking for   We are looking for  Software Quality Assurance Testers with 3-8 years of experience , with exposure or interest in  LLM (Large Language Model) testing  and  Agents testing . This role involves analyzing business and technical specifications, defining and executing test cases, and capturing and tracking defects.
You will work on  Artificial Intelligence initiatives  within a multidisciplinary team focused on emerging trends, cutting‑edge technologies, and their application in financial services for our clients.
This role supports a  hybrid work model , allowing you to balance work from home and office based on your needs and role requirements.
What you will be responsible for   As an  SQA Tester , you will:
Analyze business and technical specifications.
Write functional test cases and perform regression testing.
Report bugs, verify fixes, and maintain the bug tracking system (e.g., Jira).
Maintain and execute automated tests using  Selenium with Python .
Create automated test scripts using the  Pytest  framework.
Automate web services using  Postman  and/or Python.
Execute test plans for  Large Language Models (LLMs) , including prompt validation, accuracy checks, and basic safety evaluation.
Support  Agents testing  for AI-driven workflows to ensure reliability, robustness, and integration quality.
What we value   These skills will help you succeed in this role:
Ability to understand customer/business user needs and translate them into test scenarios.
Strong analytical, technical, and problem-solving skills with attention to detail.
Ability to manage time effectively and prioritize tasks while working within deadlines.

Experience with  BDD & TDD (Gherkin) .
Experience using  Jira  as an agile management tool.
Experience in using  Selenium with Python  for test automation.
Experience in testing  LLMs , including prompt-response validation and evaluation of model accuracy and relevance.
Exposure to  red teaming  for identifying vulnerabilities and edge cases in LLMs (preferred but not mandatory at junior level).
Familiarity with evaluation tools such as  OpenAI Evals ,  Ragas , or custom benchmarking suites (good-to-have).
Education &

Preferred Qualifications     3-8 years  of software quality assurance testing experience.

Experience with tools like  PyCharm, VS Code, Git, Fiddler, Postman, SoapUI, JMeter, Jenkins, Jira .
Experience in  CI/CD-based projects .
Hands‑on experience or strong exposure to  LLM testing  and  Agents testing  is highly preferred.
Additional Requirements    Basic understanding of  artificial intelligence  and  machine learning  concepts is preferred.
Familiarity with  AI governance , bias detection, and safety validation will be an added advantage.
About State Street   Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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