QE Architect

Qualifications

• 12+ years of experience in Software Testing, Test Automation, and Quality Engineering, with at least 5+ years in a leadership role driving regional or global practices.
• Deep expertise in full-stack test automation: Web, API, Mobile/Digital, Database, and TDM solutions.
• Strong exposure to AI/ML-based quality engineering practices – predictive analytics, autonomous AI for QE, self-healing automation, and intelligent test data management.
• Experience in Multi-Agent Orchestration Systems across STLC, leveraging Agentic AI solutions, RAG (Retrieval-Augmented Generation), and LLMs for intelligent automation.
• Ability to design and implement AI-driven workflows for user story refinement, test case generation, and automation script creation, ensuring measurable optimization and acceleration in QE processes.
• Hands-on experience in setting up MCP (Model Context Protocol) servers to enable secure, scalable orchestration of AI agents across STLC phases, integrating context-aware prompts and multi-agent collaboration for QE automation.
• Proven experience in technical consulting, solutioning, and assessments for large enterprise clients.
• Strong background in pre-sales, RFPs, solution architecture, and business consulting.
• Demonstrated ability to convert opportunities into revenue, aligning technical delivery with business outcomes.
• Excellent client-facing, stakeholder management, and communication skills with the ability to influence CXO-level discussions.
• Strong understanding of modern delivery models (Agile, DevOps, CI/CD, Cloud-native, Microservices).
• Experience in building Center of Excellence (CoE) and driving knowledge sharing, accelerators, and IP creation.