Junior AI QA Engineer, Senior Associate

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Burlington, MA
Salary
$80,000–$140,000 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $173k
This role $110k
$64k most similar roles pay here $231k

This role pays less than 95% of similar roles. Most pay $142,450–$204,400 — the shaded band above. At the midpoint, this role pays about $110k versus about $173k 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 266 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 190 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Junior AI QA Engineer, Senior Associate

Junior AI QA Engineer, Senior Associate 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, validate AI-driven product behavior, and ensure features are reliable and aligned with business needs. You will develop automated and manual test frameworks to validate model-integrated workflows, intelligent recommendations, and generated outputs while monitoring for drift detection and accuracy. Key responsibilities include defining test strategies for probabilistic outcomes, managing the defect lifecycle, and integrating automated testing into CI/CD pipelines. Required skills include experience in API, integration, and regression testing, along with proficiency in scripting and automation tools to evaluate AI guardrails and ensure consistent performance within complex enterprise investment management technology solutions.

What you'll do

  • Design and build reusable QA frameworks tailored to validating AI-driven functionality and model-integrated workflows.
  • Develop automated and manual test plans, cases, and data strategies for AI-enabled features.
  • Validate AI product behavior including output quality, response accuracy, and exception handling.
  • Execute tests for AI guardrails, probabilistic outputs, and safety boundaries to ensure consistent results.
  • Monitor AI behavior in production to detect drift and track output quality trends over time.
  • Integrate automated testing into CI/CD pipelines to improve test coverage across the development lifecycle.
  • Apply AI tools and techniques within the testing process to accelerate defect discovery and coverage creation.
  • Define measurable acceptance criteria and quality gates for AI-related user stories and features.

What we're looking for

  • 0-2 years of professional software testing or quality assurance experience, preferably within agile or scrum-based teams (preferred).
  • 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 validation of generated outputs and model-driven behavior.
  • 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 test frameworks to support scalable, maintainable, and reusable testing practices.
  • 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.
  • Experience in financial services, asset management, trading, investment management, or fintech (preferred).

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