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Principal QA Architect

Job in Yonkers, Westchester County, New York, 10701, USA
Listing for: Guild Mortgage
Full Time position
Listed on 2026-10-04
Job specializations:
  • IT/Tech
    AI Business & Operations, IT QA Tester / Automation, AI Engineer (Applied/Software), IT Project Manager
Salary/Wage Range or Industry Benchmark: 144000 - 211000 USD Yearly USD 144000.00 211000.00 YEAR
Job Description & How to Apply Below

Guild Mortgage Company
, closing loans and opening doors since 1960. As a mortgage banking firm we are dedicated to serving the home owner/buyer. Our goal is to provide affordable home financing for our customers, utilizing the best terms available while providing a level of professionalism and service unsurpassed in the lending industry.

Position Summary

The Principal QA Architect designs and evolves the organization's quality technology ecosystem, delivering tools and platforms that support test strategy, automation, AI-enabled capabilities, reporting, observability, and quality decision-making. Operating with a product mindset, this role identifies user needs, defines roadmaps, and delivers scalable solutions that improve efficiency, visibility, and quality outcomes across the software development lifecycle.

Compensation

This role is an exempt position with a targeted salary range of  -

Compensation at Guild is influenced by a wide array of factors including but not limited to local and federal minimum wage requirements, education, level of experience, and applicant’s geographical location.

Essential Functions Quality Solution Strategy and Direction
  • Define and maintain the strategy for QA technology solutions in alignment with the broader QA organizational vision and roadmap.
  • Translate QA organizational priorities into practical technology capabilities, solution roadmaps, and executable work.
  • Identify quality capability gaps across teams and recommend solutions that improve speed, confidence, coverage, visibility, consistency, and customer outcomes.
  • Evaluate emerging technologies, including AI-enabled testing, intelligent automation, test data tooling, observability, analytics, and quality engineering platforms.
  • Establish solution principles, technical standards, patterns, and best practices for quality technology across the organization.
  • Ensure QA technology investments support measurable business, delivery, and quality outcomes.
Solution Architecture and Delivery
  • Design, build, implement, and evolve scalable quality technology solutions that can be reused across teams.
  • Personally perform advanced technical work, including solution design, prototyping, software development, integrations, proof-of-concepts, troubleshooting, and implementation activities.
  • Develop integrated solutions that may include automation frameworks, AI-enabled tooling, test data capabilities, reporting, dashboards, CI/CD quality gates, observability, quality analytics, and workflow enablement.
  • Ensure solutions are practical, maintainable, secure, measurable, and aligned with enterprise technology standards.
  • Partner with engineering, Dev Ops, and architecture teams to integrate quality solutions into software delivery workflows and pipelines.
  • Evaluate build-versus-buy options and provide clear recommendations based on cost, capability, scalability, maintainability, and adoption value.
  • Create solution documentation, usage guidance, enablement materials, and support models.
  • Lead technical implementation efforts for key quality technology initiatives.
  • Ensure quality solutions improve the daily experience and effectiveness of QA engineers and delivery teams.
AI, Automation, and Innovation Leadership
  • Lead innovation efforts that apply AI, automation, analytics, and emerging technologies to improve quality outcomes.
  • Design solutions that assist with test strategy creation, test generation, test execution, evidence collection, defect insight, risk analysis, reporting, and decision support.
  • Treat automation frameworks as one component of a broader quality technology ecosystem.
  • Continuously evaluate automation coverage, reliability, maintainability, execution efficiency, and business value.
  • Identify opportunities to reduce manual effort…
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