Zensar

Global IT services for digital transformation

QE Architect

Test Automation EngineeringUpdated on Nov 10

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

At least 12 years of experience in software testing, test automation, and quality engineering, including at least 5 years in a leadership role driving regional or global practices.
Deep expertise in full-stack test automation across web, API, mobile/digital, database, and test data management solutions.
Strong exposure to AI/ML-based quality engineering practices, including predictive analytics, autonomous AI for quality engineering, self-healing automation, and intelligent test data management.
Experience with multi-agent orchestration systems across the software testing life cycle, using agentic AI solutions, retrieval-augmented generation, and large language models for intelligent automation.
Ability to design and implement AI-driven workflows for user story refinement, test case generation, and automation script creation to optimize and accelerate quality engineering processes measurably.
Hands-on experience setting up Model Context Protocol servers to enable secure, scalable orchestration of AI agents across software testing life cycle phases, integrating context-aware prompts and multi-agent collaboration for quality engineering automation.
Proven experience in technical consulting, solutioning, and assessments for large enterprise clients.
Strong background in pre-sales, requests for proposals, solution architecture, and business consulting.
Demonstrated ability to convert opportunities into revenue and align technical delivery with business outcomes.
Strong understanding of modern delivery models, including Agile, DevOps, continuous integration and continuous delivery, cloud-native technologies, and microservices.
Experience building centers of excellence and driving knowledge sharing, accelerators, and intellectual property creation.

Responsibilities

Lead quality intelligence initiatives for clients across domains and regions.
Design and implement AI-driven workflows for user story refinement, test case generation, and automation script creation.
Set up Model Context Protocol servers to orchestrate AI agents securely and scalably across software testing life cycle phases.
Build centers of excellence and drive knowledge sharing, accelerators, and intellectual property creation.
Convert opportunities into revenue while aligning technical delivery with business outcomes.

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.

About the Company

Zensar

Global IT services for digital transformation

Digital solutions and IT services company that partners with global organizations to drive digital transformation. Its offerings include intelligent automation, analytics, hyperconverged infrastructure, and digital application development and maintenance, delivered through long-term contracts, project-based engagements, and managed services. Indigo Slate handles virtual event creation. Zensar’s Living AI integrates artificial intelligence into business processes to boost outcomes. Unlike many competitors, it emphasizes reducing capital expenditure (Capex) and operating expenditure (Opex), simplifying vendor management, and improving efficiency through automation. The overall goal is to help clients adapt to the digital landscape, optimize technology infrastructure, and achieve higher operational efficiency.

Company size: 10,001+
Company stage: IPO
Headquarters: Pune, India
Founded: 1991

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