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.

Architect and implement full-stack automation frameworks for applications (Web, Mobile, API, Database).

Drive risk-based testing, security, and performance validation for digital platforms.

Provide consulting on compliance, regulatory requirements, and digital transformation.

Participate in client consulting engagements and provide high-impact recommendations for quality transformation.

Design and architect full-stack automation frameworks covering Web, Mobile, API, Digital, and Database testing.

Drive Test Data Management (TDM) strategies to ensure robust and scalable test environments.

Perform technical assessments, identify gaps, and recommend strategic improvements to client quality engineering practices.

Champion adoption of AI/ML-based quality engineering approaches, intelligent test design, predictive analytics, and self-healing automation.

Participate in client consulting engagements and provide high-impact recommendations for quality transformation.

Collaborate with sales and account teams to position Quality Engineering as a business differentiator in client conversations.

Define and track metrics that link automation and AI-led quality solutions directly to client ROI and revenue 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.





Robust 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.

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.

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.

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. Together, we shape experiences for better futures . 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. 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.

📌 DevOps Architect (Bengaluru)
🏢 Zensar Technologies
📍 Bengaluru