Quality Assurance Architect (AI & Automation Engineering)

PNC•Pittsburgh, PA

21h•Onsite

About The Position

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Quality Assurance Architect within PNC's C&IB organization, you will be based in Pittsburgh, PA or Dallas, TX. We are seeking a highly experienced QA Architect to lead the transformation of Quality Engineering through advanced automation, AI-driven testing strategies, and modern engineering practices. This role will define and implement enterprise-scale test architectures, establish automation standards, champion AI-enabled quality solutions, and drive shift-left quality across Agile delivery teams. The ideal candidate combines deep expertise in software testing and automation frameworks with hands-on experience leveraging Generative AI, Agentic AI, predictive analytics, and CI/CD technologies to improve software quality, delivery velocity, and operational excellence.

Requirements

Multiple years of Quality Engineering experience.
5+ years designing enterprise automation frameworks.
3+ years leading QA architecture or principal automation engineering initiatives.
Experience implementing AI-enabled testing solutions in large-scale environments.
Playwright
Selenium WebDriver
Cypress
Appium
REST Assured
Postman
Cucumber BDD
Java
Python
Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Accuracy and Attention to Detail
Analytical Thinking
Emerging Technologies
Influencing
IT Architecture
Process Management
Software Development Life Cycle
Software Product Design/Architecture
Software Quality Assurance And Testing
University / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Nice To Haves

Competitive Advantages
Cucumber Testing Framework
Customer Solutions
Design
Enterprise Architecture Framework
Machine Learning (ML)
Risk Assessments
Selenium
Technical Knowledge

Responsibilities

Define and implement enterprise-wide QA architecture, standards, and best practices.
Establish scalable automation frameworks supporting UI, API, database, cloud, and event-driven applications.
Drive Quality Engineering transformation initiatives aligned with Agile and DevOps practices.
Architect testing solutions that support continuous integration, continuous testing, and continuous delivery.
Lead adoption of AI-powered testing solutions including: Automated test case generation, Intelligent defect prediction and triage, Self-healing automation frameworks, Autonomous regression testing, AI-assisted root cause analysis.
Evaluate and implement GenAI and Agentic AI capabilities within the QE lifecycle.
Develop strategies leveraging tools such as GitHub Copilot, AI test generation platforms, LLM-based testing solutions, and predictive analytics.
Partner with engineering teams to identify opportunities where AI can improve productivity, coverage, and quality outcomes.
Design and maintain enterprise automation architectures utilizing some of the in house capabilities such as : Playwright, Selenium, Cypress, REST Assured, Appium, JMeter/Gatling.
Establish reusable automation patterns, libraries, and accelerator frameworks.
Improve automation coverage, reliability, maintainability, and execution efficiency.
Lead automation of functional, integration, regression, accessibility, performance, and API testing.
Integrate automated quality gates into CI/CD pipelines.
Partner with development teams to enable shift-left testing practices.
Implement quality metrics, automated reporting, and release readiness dashboards.
Design testing strategies for cloud-native and microservices-based architectures.
Mentor and coach QE Leads, Automation Engineers, and Test Architects.
Conduct architecture reviews and provide technical guidance across teams.
Establish Communities of Practice for Automation, Performance Testing, AI, and Quality Engineering.
Influence senior technology leadership through engineering roadmaps and innovation proposals.
Define KPIs and maturity models for: Automation adoption, Defect leakage, Test execution efficiency, AI utilization, Release quality.
Drive root cause analysis and continuous improvement initiatives.
Ensure compliance with enterprise risk, audit, and regulatory requirements.
Responsible for development and support of processes, practices and tools necessary to produce quality products/services and to manage risk.
Researches and recommends hardware and software purchases for software quality assurance program.
Selects and implements formal QA methodologies.
Architects and implements agile testing practices and tools.
Evaluates, recommends and implements enterprise-wide defect-tracking software.
Assists in planning and estimation of Quality Assurance support for new programs and projects.
Conducts audits and reviews.
Supports Quality Assurance specialists on programs or projects.
Conducts program reviews and complex process audits.