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Senior Quality Assurance Engineer at Pearson · Chennai
Job Description
Senior Quality Assurance Engineer
Location: Chennai, Tamil Nadu, India
Automation Architect – AI-Native Quality Engineering
Role Overview
We are seeking an experienced Automation Architect to lead the design and evolution of our next-generation AI-native Quality Engineering (QE) automation ecosystem. This role will be responsible for building scalable, intelligent, and future-ready automation solutions across Web, Mobile, API, and Contract Testing, while leveraging Generative AI, LLMs, AI Agents, and Agentic AI architectures to transform end-to-end quality engineering.
The ideal candidate will define the technical vision, architecture strategy, frameworks, standards, and reusable solutions using technologies such as Playwright, AI Agentic Frameworks, Contract Testing, API Automation, and Mobile Automation. This role requires deep technical expertise, strong architectural leadership, and the ability to convert complex quality engineering challenges into scalable enterprise solutions.
Key Responsibilities
- Define the architecture and technical roadmap for an AI-native end-to-end automation platform.
- Design and build scalable Playwright-based web automation frameworks and reusable automation components.
- Architect and implement AI Agentic Automation Frameworks capable of planning, generating, executing, analyzing, and optimizing test scenarios.
- Design and implement Contract Testing frameworks for modern API and microservices architectures.
- Define automation architecture spanning Web, Mobile, API, UI, Backend Services, and Enterprise Platforms.
- Leverage Generative AI, LLMs, AI Agents, RAG, and Intelligent Automation to improve QE productivity, efficiency, and coverage.
- Build reusable frameworks, accelerators, libraries, and enterprise reference architectures.
- Develop AI-powered solutions for:
- Automated test generation
- Self-healing automation
- Test maintenance
- Defect intelligence and root-cause analysis
- Intelligent test data generation
- Autonomous test execution and optimization
- Establish automation engineering standards, best practices, design patterns, governance, and coding guidelines.
- Evaluate emerging technologies and continuously modernize the QE automation technology stack.
- Collaborate closely with Engineering, Architecture, DevOps, Product, and QE leadership teams.
- Mentor senior engineers and architects while providing technical leadership across automation initiatives.
- Drive innovations, proof-of-concepts, and convert successful ideas into production-ready enterprise solutions.
Required Skills & Experience
- Strong experience in Automation Architecture and Quality Engineering.
- Hands-on expertise with Playwright and modern web automation frameworks.
- Extensive experience with API Automation and Contract Testing.
- Experience designing and implementing Mobile Automation Frameworks.
- Strong programming skills in TypeScript/JavaScript, Java, Python, or similar languages.
- Experience with AI/ML, Generative AI, LLMs, RAG, AI Agents, and Agentic AI architectures.
- Deep understanding of CI/CD, DevOps, Cloud Platforms, APIs, Microservices, and Modern Software Architectures.
- Proven track record in designing and scaling enterprise automation platforms.
- Strong knowledge of automation design patterns, framework engineering, test strategy, and quality engineering practices.
- Excellent communication, stakeholder management, problem-solving, and architectural decision-making skills.
Preferred Qualifications
- Experience building AI-native or AI-assisted Quality Engineering platforms.
- Expertise in Agentic AI frameworks and orchestration patterns.
- Experience integrating LLMs and AI Agents with enterprise applications and automation ecosystems.
- Knowledge of observability, intelligent test analytics, self-healing automation, and autonomous testing.
- Experience driving enterprise-wide automation transformation and technology standardization programs.
- Strong understanding of quality engineering trends and next-generation testing strategies.
What Success Looks Like
The successful candidate will establish a future-proof, AI-native automation ecosystem that enables intelligent and scalable quality engineering across Web, Mobile, APIs, and distributed systems. This individual will help the organization move beyond traditional automation practices toward AI-assisted and autonomous quality engineering, significantly improving speed, reliability, productivity, and overall product quality.
About the Person
We are looking for a visionary technology leader who is passionate about redefining Quality Engineering through AI and automation. The ideal candidate:
- Thinks strategically while remaining hands-on with technology.
- Has a builder's mindset and enjoys solving complex engineering challenges.
- Is passionate about innovation, AI, automation, and modern software quality practices.
- Thrives in fast-paced environments and can influence technical direction across multiple teams.
- Possesses strong leadership and mentoring capabilities without relying on formal people management responsibilities.
- Can communicate architectural concepts effectively to both technical and business stakeholders.
- Continuously explores emerging technologies and translates innovation into measurable business value.
- Drives a culture of engineering excellence, scalability, and continuous improvement.
This is a high-impact architecture role for someone who wants to shape the future of AI-powered Quality Engineering and build intelligent automation platforms at enterprise scale.