QE Architect @ Zensar

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

We are seeking a QE Architect to lead Quality Intelligence initiatives for clients across domains & regions. This role demands expertise in full-stack automation, AI/ML and strategic consulting to deliver measurable business outcomes.

• 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.