QE Solution Architect

RoleQE Solution ArchitectSkillsGHCP (GitHub Copilot), Azure OpenAI, AI-based test generationExperience: 14 + Years.LocationHouston TX.Role SummaryWe are seeking an AI-Driven Quality Engineering (QE) Solution Architect to lead the design and rollout of next-generation, AI-enabled QE solutions powered by platforms such as GitHub Copilot (GHCP), Azure OpenAI, and intelligent automation toolchains. This role will drive RFP/proposal solutioning, lead strategic AI pilots, and deliver tangible quality, velocity, and cost benefits that accelerate client adoption of AI across the account. The architect will work closely with Sales, Delivery, DevOps, and Enterprise Architecture to position differentiated, automation-first QE solutions and enable account mining.Key Responsibilities:AI-Enabled QE Solutioning (Primary Charter)Architect AI-first QE solutions leveraging GHCP, Generative AI, ML-based defect prediction, autonomous test generation, and intelligent test data creation.Define AI use cases across the entire QE lifecycle—test design automation, risk-based optimization, impact analytics, and continuous validation.Build reusable AI accelerators, prompts, copilots, templates, and solution kits to differentiate QE offerings.Evaluate and recommend best-fit AI/QE platforms for client ecosystems including GHCP, Azure OpenAI, Selenium, Playwright, Tricentis, Katalon, and cloud-native DevOps stacks.Establish governance for responsible AI usage in QE.Strategic Projects, Pilots & Account MiningLead AI pilots and proof-of-value (PoV) initiatives to demonstrate measurable impact—cycle time reduction, automation uplift, defect leakage reduction, and cost efficiency.Drive cross-account AI adoption by identifying areas for modernization, automation, and AI-led productivity improvements.Shape new opportunities within accounts through strategic programs, capability showcases, and client workshops.Develop account-specific AI roadmaps, maturity models, and transformation charters.Solutioning & Pre-Sales LeadershipOwn QE solutioning for RFPs, RFIs, and proposals, including estimation, delivery models, staffing, and differentiators.Create compelling value narratives highlighting AI-enabled acceleration, automation efficiency, and quality cost reductionRepresent QE in orals, client demos, and AI capability walk-throughs.Build scalable solution blueprints that integrate functional, automation, performance, security, data, and AI-driven validation.Quality Engineering LeadershipProvide architectural direction across Functional QA, UI/API automation, Performance, Security, and AI-led QERecommend enterprise-grade QE toolchains optimized for ERP, CRM, API-led, and cloud-native digital ecosystems.Drive QE modernization by introducing self-healing automation, autonomous test generation, shift-left testing, and DevOps-integrated quality gates.Collaboration, Governance & Delivery AlignmentWork with Delivery, DevOps, Engineering, and Enterprise Architecture to ensure solution feasibility and adoptionEnsure seamless transition from solution to delivery including guardrails, scope clarity, and quality governance.Align solutions with organizational cost models, margin expectations, and client value realization frameworks.Required Skills & Experience12–15 years in QE; 3+ years in QE Architecture, AI-led QE, Solutioning, or Pre-SalesStrong expertise with GHCP (GitHub Copilot), Azure OpenAI, AI-based test generation, and enterprise automation frameworks.Demonstrated experience leading client-facing AI pilots/PoVsAbility to create high-quality proposal content—estimates, assumptions, solution writeups, value metrics.Excellent communication, storytelling, and stakeholder influence skills.Experience working with bid teams and large transformation programs.Preferred Skills / CertificationsExperience with AI/QE in ERP (SAP/Oracle/NetSuite), CRM, MuleSoft/API-led integrations, and cloud modernization programs.exposure to performance engineering, application security, and DevOps pipelines.Certifications: ISTQB, Agile, AWS/Azure, DevOps, GitHub, or AI certifications.