AVP , Quality Engineering (QE) Automation Architect ( L11 )

Role Title : AVP , Quality Engineering (QE) Automation Architect  ( L11 )

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  AI-assisted solutions for functional, UAT, performance  and security testing.
• AI Tooling: Experience applying AI tools for test case generation, code review support, and defect triage.
• Agentic Workflows: Understanding of agentic AI patterns to build autonomous test agents and end-to-end workflows.
• Integration: Ability to integrate AI solutions with existing business processes and enterprise IT infrastructure
• Communication & stakeholder management: Align and influence stakeholders through clear, concise communication.
• System thinking & architecture design: Design scalable QE architectures with end-to-end perspective.
• Problem formulation & solution design: Turn vague problems into measurable, practical solutions.

Desired Skills/Knowledge:

• Experience designing and building GenAI platforms.
• Exposure to cloud ecosystems such as AWS and Azure.
• Proven ability to integrate test automation into CI/CD toolchains (Jenkins, GitHub Actions, CloudBees).

Eligibility Criteria:

• Bachelor’s Degree and a minimum of 12 + years of experience in Information Technology or Engineering.

Work Timings 2:00PM to 11:00 PM IST

This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs) We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR. Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying
• Inform your manager and HRM before applying for any role on Workday
• Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)
• Must not be any corrective action plan (First Formal/Final Formal )
• L09+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.
• L09+ Employees can apply

Level / Grade : 11

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