We are looking for a Senior Quality Architect with deep expertise in pre-sales solutioning, AI-driven testing, and advanced test automation to join our Quality Engineering practice. In this strategic, client-facing role, you will lead the design of innovative testing solutions, drive RFP/RFI responses, and deliver compelling presentations that position our Quality Engineering capabilities to enterprise clients and key stakeholders. Req# [redacted] Responsibilities Lead end-to-end response creation for complex RFPs, RFIs, and Statements of Work focused on Quality Engineering and Test Automation Develop compelling, client-centric proposals, estimation models, and solution architectures that clearly articulate our value proposition Lead technical discussions, discovery workshops, and solution walk-throughs with C-level executives, engineering leadership, and procurement stakeholders Deliver high-impact presentations and demonstrations showcasing Quality Engineering capabilities, accelerators, and frameworks Architect modern Quality Engineering solutions incorporating advanced Test Automation frameworks and AI-driven testing methodologies, including self-healing scripts, predictive analytics, and generative AI in testing Collaborate with delivery teams to validate that proposed solutions are feasible, scalable, and aligned with client expectations Partner with sales, account management, and Quality Engineering Center of Excellence leadership to identify cross-selling and up-selling opportunities Contribute to the development of reusable pre-sales assets, capability decks, and solution accelerators Stay current with emerging trends in Quality Engineering, AI/ML-driven testing, and test automation to continuously enhance our go-to-market strategy Requirements 15+ years of experience in IT Quality Engineering, with at least 5-8 years focused on pre-sales solutioning, proposal and estimation management, or client-facing advisory roles Exceptional verbal, written, and interpersonal communication skills with a proven ability to translate complex technical concepts into clear, persuasive business narratives for executive audiences Deep hands-on background or architectural understanding of modern Test Automation frameworks such as Selenium, Playwright, Appium, and API automation tools Strong familiarity with AI and Machine Learning applications in Quality Engineering, including AI-generated test cases, autonomous testing tools, and intelligent defect prediction Demonstrated track record of building winning proposals, managing estimation models covering effort and pricing, and driving RFPs to successful closure Experience leading technical discussions and solution presentations with senior client stakeholders Bachelor's degree in Computer Science, Information Technology, Business, or a related field, or equivalent practical experience Nice to have Experience working in a global delivery model with onshore and offshore teams Familiarity with DevOps practices, CI/CD pipelines, and shift-left quality strategies Relevant industry certifications such as ISTQB, AWS or Azure DevOps, or Agile/Scrum certifications Experience contributing to Quality Engineering practice development or Center of Excellence initiatives