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Salary
≈ $9.5k – $24k per year (Estimated)
Location
Hybrid (Chennai, India)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Sep 9, 2026. Pearson scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Pearson is a London-based learning company that publishes educational courseware, runs assessments and qualifications, and provides digital learning, English-language and workforce skills services. Founded in 1844 and listed in London and New York, it employs more than 20,000 people, and its UK Assessment and Qualifications arm delivers nearly four million exam results a year, including GCSE, A-Level and BTEC. It hires for software and data engineering, product management, channel sales, partnership management, payroll, HR operations and tutoring roles across India, the UK, the US, Poland, Spain, Israel and the Philippines.

Role: Senior Quality Assurance Engineer

Location: Chennai - Hybrid (3 days in Office per week)

Role Description

We are looking for an IC25 Automation Architect to lead the design and evolution of our next-generation, AI-native Quality Engineering automation ecosystem. This role will focus on building scalable, future-ready automation solutions across Web, Mobile, API, and Contract Testing, while leveraging AI and Agentic AI to transform end-to-end test engineering.

The architect will define the technical vision, architecture, frameworks, standards, and reusable solutions using technologies such as Playwright, AI Agentic frameworks, Contract Testing, API automation, and mobile automation. The role requires strong solution-building skills and the ability to convert complex QE challenges into intelligent, scalable, and enterprise-ready automation solutions.

Key Responsibilities

  • Define the architecture and technical roadmap for an AI-native, end-to-end automation framework.
  • Design and build scalable Playwright-based Web automation solutions and reusable automation components.
  • Architect AI Agentic automation frameworks capable of planning, generating, executing, analyzing, and optimizing tests.
  • Design and implement Contract Testing frameworks for modern API and microservices architectures.
  • Define automation architecture covering Web, Mobile, API, UI, and backend services.
  • Leverage Generative AI, LLMs, AI Agents, and intelligent automation to improve QE productivity and coverage.
  • Build reusable frameworks, accelerators, libraries, and reference architectures for enterprise adoption.
  • Develop AI-driven solutions for test generation, test maintenance, defect analysis, root-cause analysis, test data generation, and intelligent test execution.
  • Establish automation engineering standards, design patterns, coding practices, and governance.
  • Evaluate emerging technologies and continuously modernize the QE automation technology stack.
  • Partner with QE, Engineering, Architecture, DevOps, and Product teams to drive adoption of the automation platform.
  • Mentor senior engineers and architects and provide technical leadership across automation initiatives.
  • Drive proof-of-concepts and convert successful innovations into production-ready enterprise solutions.

Required Skills & Experience

  • Strong experience in Automation Architecture and Quality Engineering.
  • Hands-on expertise in Playwright and modern web automation architecture.
  • Strong experience with API automation and Contract Testing.
  • Experience designing Mobile automation frameworks.
  • Strong programming skills in TypeScript/JavaScript, Java, Python, or similar languages.
  • Experience with AI/ML, Generative AI, LLMs, AI Agents, RAG, and Agentic AI architectures.
  • Strong understanding of CI/CD, cloud platforms, DevOps, microservices, APIs, and modern application architectures.
  • Experience designing scalable enterprise automation frameworks and platforms.
  • Strong understanding of test strategy, automation design patterns, framework engineering, and quality engineering practices.
  • Excellent problem-solving, architecture, communication, and stakeholder-management skills.

Preferred Experience

  • Experience building AI-native or AI-assisted QE platforms.
  • Experience with Agentic AI frameworks and orchestration patterns.
  • Experience integrating LLMs and AI agents with automation tools and enterprise systems.
  • Experience with observability, intelligent test analytics, self-healing automation, and autonomous testing.
  • Experience driving enterprise-wide automation transformation and technology standardization.

What Success Looks Like

The successful candidate will help establish a future-proof, AI-native automation ecosystem that enables intelligent end-to-end quality engineering across Web, Mobile, API, and services-moving beyond traditional test automation toward AI-assisted and autonomous quality engineering

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