AVP AI QA Engineer

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Burlington, MA
Salary
$80,000–$140,000 / yr
Posted
73 days ago
Freshness
Confirmed live yesterday
Closes
Sep 29, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $176k
This role $110k
$64k most similar roles pay here $229k

This role pays less than 97% of similar roles. Most pay $144,756–$206,737 — the shaded band above. At the midpoint, this role pays about $110k versus about $176k 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 176 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 172 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · AVP AI QA Engineer

As an AI QA Engineer, AVP, you will join the team responsible for advancing quality engineering for AI-enabled capabilities within the CRIMS and State Street Alpha product suite. Working within a scrum team, you will design and implement scalable test frameworks to validate AI-driven behaviors such as model-integrated workflows, intelligent recommendations, and generated outputs. You will develop automated and manual test plans for functional, integration, and regression testing while ensuring accuracy, consistency, and robustness in probabilistic results. Key responsibilities include monitoring production drift, managing defect lifecycles, and integrating tests into CI/CD pipelines. The role requires expertise in API testing, scripting, and QA methodologies to address non-deterministic validation. You will utilize AI tools to enhance test design and coverage while ensuring that intelligent features meet specific business requirements within a complex enterprise investment management technology environment.

What you'll do

  • Design and build reusable QA frameworks specifically tailored to validate AI-driven functionality and model-integrated workflows.
  • Develop test plans, cases, and data strategies for functional, integration, regression, and non-functional testing of AI capabilities.
  • Validate AI product behavior including output quality, response accuracy, consistency, and the effectiveness of safety guardrails.
  • Monitor AI behavior in production to detect drift, track output trends, and ensure continuous performance.
  • Integrate automated testing into CI/CD pipelines to improve test coverage across the development lifecycle.
  • Identify, document, and drive the resolution of defects by analyzing root cause patterns and business impact.
  • Apply AI tools and techniques within the testing process to accelerate coverage creation and defect discovery.
  • Define measurable acceptance criteria and quality gates for AI-related user stories in collaboration with product partners.

What we're looking for

  • 5–8 years of professional software testing or quality assurance experience, preferably in agile or scrum environments.
  • Proven experience implementing AI capabilities within the software testing process for test generation, optimization, or defect analysis.
  • Hands-on experience testing AI functionality embedded in products, including model-driven behavior and generated output validation.
  • Understanding of AI-specific testing concepts such as guardrail testing, probabilistic output assessment, and monitoring for production drift.
  • Strong knowledge of QA methodologies, test strategy development, defect lifecycle management, and automation best practices.
  • Experience building or extending scalable, maintainable, and reusable test frameworks.
  • Proficiency in API testing, integration testing, regression testing, and CI/CD pipeline integration.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.

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