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Location
In office (Bengaluru)
Seniority
Architect · 12+ years exp
Visa
Sponsors visas in United States, United Kingdom; no register of this country names it
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. Zensar Technologies scores A on the Alion truth index.
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Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.
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.
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