AI QA, AVP-2

State Street

Quick summary

Work type: On-site
Location: Boston, MA
Salary: $80,000–$140,000 / yr
Posted: 1 day ago
Closes: Sep 7, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k

This role $110k

$65k most similar roles pay here $220k

This role pays less than 93% of similar roles. Most pay $133,787–$204,912 — the shaded band above. At the midpoint, this role pays about $110k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 138 open roles on FindRole.

Listed pay typically runs $120,000–$184,375 across 138 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · AI QA, AVP-2

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As a mid-level Quality Assurance Engineer in the AI Testing team at Charles River Development / State Street Alpha, you will collaborate with product managers and engineers to design scalable test frameworks for validating AI-driven features across the CRIMS/Alpha platform. Your daily tasks include creating comprehensive test plans, executing tests for AI guardrails and probabilistic outputs, and integrating automated testing into CI/CD pipelines. You must have hands-on experience in AI-specific testing concepts like model validation and production monitoring, along with expertise in API testing, regression testing, and end-to-end validation. Proficiency in scripting languages and test automation tools is essential, as well as strong analytical skills to translate ambiguous product behavior into clear test scenarios. This role requires a solid background in software testing within agile environments and financial services experience is beneficial.

Skills

AI Python Java API testing Integration testing Regression testing End-to-end validation Test automation tools CI/CD Scrum Agile methodologies PostgreSQL SQL Git JIRA Selenium JUnit Swagger RESTful APIs Financial services experience

What you'll do

Design and build reusable QA frameworks for validating AI-driven functionality.
Define test strategies addressing both traditional application quality and AI-specific dimensions.
Validate product behavior for AI use cases including output accuracy and robustness.
Execute tests for AI guardrails, probabilistic outputs, and response boundaries.
Monitor AI behavior in production to ensure continuous learning and performance.

What we're looking for

5-8 years of professional software testing or QA experience in agile/scrum teams.
Proven experience implementing AI capabilities within the software testing process.
Hands-on experience testing AI functionality embedded within a software product.
Understanding of AI-specific testing concepts like guardrail testing and probabilistic output assessment.
Strong understanding of QA methodologies, test strategy development, and automation best practices.
Experience building or extending scalable, maintainable test frameworks for complex applications.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.

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