AVP , Quality Engineering (QE) Automation Architect ( L11 )
Synchrony Financial
- Location
- Hyderabad, IN
- Work model
- On-Site
- Level
- Staff
- Posted
- Aug 31, 2026
Skills
About this role
Job Description
Role Title : AVP , Quality Engineering (QE) Automation Architect ( L11 ) Company Overview: Synchrony (NYSE: SYF) is a leading consumer financing company that has been at the heart of American commerce and opportunity for nearly a century. Synchrony delivers credit and banking products that empower tens of millions of consumers to improve their financial lives and access what matters most. Leveraging innovative solutions that are shaping the future of retail commerce, Synchrony supports the growth and success of some of the nation’s most respected brands, alongside hundreds of thousands of small and midsize businesses, including health and wellness providers. Committed to excellence in service and culture, Synchrony is proud to be named as #3 as a Great Place to Work® in India and is honored to be ranked the #1 Best Company to Work For® in the U.S. by Fortune magazine and Great Place to Work®. For more information, visit www.synchrony.com. Organizational Overview: The Quality Engineering Center of Excellence (QE COE) is a centralized team of Quality Engineering Leaders and Test Architects, that standardizes, scales, and governs software quality, test automation, and best practices across the organization. This team works closely with the Leaders in the Engineering verticals and other cross functional teams who are the key stakeholders. This role will work closely with other peer Test Architects in the team under the leadership of the QE Leader to rollout and institutionalize the AI driven QE strategies and solutions conceptualized by the team, in partnership with the Application Teams.
Role
Summary/Purpose: Quality Engineering (QE) Automation Architect Drive the design and delivery of next-generation Quality Engineering solutions by blending proven testing methodologies with AI-powered approaches. This role will occasionally architect scalable testing frameworks, champion adoption of AI-assisted testing, and embed intelligent automation across the product development lifecycle and CI/CD pipelines to accelerate high-quality delivery. As an SME in AI-enabled test automation engineering, this role will partner with peer architects and stakeholders to define strategy, recommend the optimal tool stack aligned to the application landscape, and resolve complex automation challenges—delivering best-in-class, enterprise-wide automation expansion solutions.
Key Responsibilities
Architect and own scalable test automation frameworks for functional, regression, and non-functional testing; embed automation into CI/CD (Jenkins, GitHub, CloudBees) as required by the Application teams. Define and drive QE standards, best practices, and reusable libraries/patterns across engineering teams. Partner with QE leads in application teams to implement shift-left testing and quality-by-design. Design and implement AI-assisted testing solutions leveraging LLMs, RAG, and agentic workflows; lead prompt engineering and context design for reliable AI test agents (test generation, test data creation, defect triage/analysis). Drive adoption and standardization of modern automation tools/frameworks (e.g., Playwright, Selenium). Enable self-service automation and quality reporting dashboards for engineering teams. Act as a QE technical leader, run architecture reviews, mentor QE Engineers/Architects on AI-driven quality patterns and tools, and resolve complex automation challenges. Create playbooks, training, and rollout plans; continuously evaluate/pilot emerging QE technologies and measure adoption and impact. Required Skills/Knowledge:
Experience
12+ years in Software Quality Engineering, including 3+ years in test architecture and framework design. Automation Tools: Hands-on expertise in Playwright and/or Selenium, REST API testing, and modern JavaScript/TypeScript or Python automation frameworks. AI-Assisted Testing: Working knowledge of LLMs and context design for QE use cases. Experience in providing